International Conference on Machine Learning, ICML 2016


Title/Authors Title Research Artifacts
[?] A research artifact is any by-product of a research project that is not directly included in the published research paper. In Computer Science research this is often source code and data sets, but it could also be media, documentation, inputs to proof assistants, shell-scripts to run experiments, etc.
Details

Model-Free Trajectory Optimization for Reinforcement Learning

Riad Akrour, Gerhard Neumann, Hany Abdulsamad, Abbas Abdolmaleki

Model-Free Trajectory Optimization for Reinforcement Learning

Details
Discussion Comments: 0
Verification: Authors have not verified information

Distributed Clustering of Linear Bandits in Peer to Peer Networks

Nathan Korda, Balázs Szörényi, Shuai Li

Distributed Clustering of Linear Bandits in Peer to Peer Networks

Details
Discussion Comments: 0
Verification: Authors have not verified information

Provable Non-convex Phase Retrieval with Outliers: Median TruncatedWirtinger Flow

Huishuai Zhang, Yuejie Chi, Yingbin Liang

Provable Non-convex Phase Retrieval with Outliers: Median TruncatedWirtinger Flow

Details
Discussion Comments: 0
Verification: Authors have not verified information

Cross-Graph Learning of Multi-Relational Associations

Hanxiao Liu, Yiming Yang

Cross-Graph Learning of Multi-Relational Associations

Details
Discussion Comments: 0
Verification: Authors have not verified information

Learning Representations for Counterfactual Inference

Fredrik D. Johansson, Uri Shalit, David Sontag

Learning Representations for Counterfactual Inference

Details
Discussion Comments: 0
Verification: Authors have not verified information

On the Analysis of Complex Backup Strategies in Monte Carlo Tree Search

Piyush Khandelwal, Elad Liebman, Scott Niekum, Peter Stone

On the Analysis of Complex Backup Strategies in Monte Carlo Tree Search

Details
Discussion Comments: 0
Verification: Authors have not verified information

No-Regret Algorithms for Heavy-Tailed Linear Bandits

Andres Muñoz Medina, Scott Yang

No-Regret Algorithms for Heavy-Tailed Linear Bandits

Details
Discussion Comments: 0
Verification: Authors have not verified information

A Self-Correcting Variable-Metric Algorithm for Stochastic Optimization

Frank Curtis

A Self-Correcting Variable-Metric Algorithm for Stochastic Optimization

Details
Discussion Comments: 0
Verification: Author has not verified information

Why Regularized Auto-Encoders learn Sparse Representation?

Devansh Arpit, Yingbo Zhou, Hung Q. Ngo, Venu Govindaraju

Why Regularized Auto-Encoders learn Sparse Representation?

Details
Discussion Comments: 0
Verification: Authors have not verified information

Sparse Nonlinear Regression: Parameter Estimation under Nonconvexity

Zhuoran Yang, Zhaoran Wang, Han Liu, Yonina C. Eldar, Tong Zhang

Sparse Nonlinear Regression: Parameter Estimation under Nonconvexity

Details
Discussion Comments: 0
Verification: Authors have not verified information

Bidirectional Helmholtz Machines

Jörg Bornschein, Samira Shabanian, Asja Fischer, Yoshua Bengio

Bidirectional Helmholtz Machines

Details
Discussion Comments: 0
Verification: Authors have not verified information

Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization

Chelsea Finn, Sergey Levine, Pieter Abbeel

Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization

Details
Author Comments: We released code for guided cost learning in the context of a follow-up project on semi-supervised reinforcement learning.
Discussion Comments: 0
Sharing: Research produced artifacts
Verification: Authors have verified information

Collapsed Variational Inference for Sum-Product Networks

Han Zhao, Tameem Adel, Geoffrey J. Gordon, Brandon Amos

Collapsed Variational Inference for Sum-Product Networks

Details
Discussion Comments: 0
Verification: Authors have not verified information

Learning End-to-end Video Classification with Rank-Pooling

Basura Fernando, Stephen Gould

Learning End-to-end Video Classification with Rank-Pooling

Details
Discussion Comments: 0
Verification: Authors have not verified information

Pareto Frontier Learning with Expensive Correlated Objectives

Amar Shah, Zoubin Ghahramani

Pareto Frontier Learning with Expensive Correlated Objectives

Details
Discussion Comments: 0
Verification: Authors have not verified information

Interactive Bayesian Hierarchical Clustering

Sharad Vikram, Sanjoy Dasgupta

Interactive Bayesian Hierarchical Clustering

Details
Discussion Comments: 0
Verification: Authors have not verified information

Control of Memory, Active Perception, and Action in Minecraft

Junhyuk Oh, Valliappa Chockalingam, Satinder P. Singh, Honglak Lee

Control of Memory, Active Perception, and Action in Minecraft

Details
Discussion Comments: 0
Verification: Authors have not verified information

Cumulative Prospect Theory Meets Reinforcement Learning: Prediction and Control

Prashanth L. A., Cheng Jie, Michael C. Fu, Steven I. Marcus, Csaba Szepesvári

Cumulative Prospect Theory Meets Reinforcement Learning: Prediction and Control

Details
Discussion Comments: 0
Verification: Authors have not verified information

A Variational Analysis of Stochastic Gradient Algorithms

Stephan Mandt, Matthew D. Hoffman, David M. Blei

A Variational Analysis of Stochastic Gradient Algorithms

Details
Discussion Comments: 0
Verification: Authors have not verified information

Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions

Igor Colin, Aurélien Bellet, Joseph Salmon, Stéphan Clémençon

Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions

Details
Discussion Comments: 0
Verification: Authors have not verified information

Hierarchical Compound Poisson Factorization

Mehmet Emin Basbug, Barbara E. Engelhardt

Hierarchical Compound Poisson Factorization

Details
Discussion Comments: 0
Verification: Authors have not verified information

The Information Sieve

Greg Ver Steeg, Aram Galstyan

The Information Sieve

Details
Discussion Comments: 0
Verification: Authors have not verified information

Why Most Decisions Are Easy in Tetris - And Perhaps in Other Sequential Decision Problems, As Well

Özgür Simsek, Simon Algorta, Amit Kothiyal

Why Most Decisions Are Easy in Tetris - And Perhaps in Other Sequential Decision Problems, As Well

Details
Discussion Comments: 0
Verification: Authors have not verified information

Texture Networks: Feed-forward Synthesis of Textures and Stylized Images

Dmitry Ulyanov, Vadim Lebedev, Andrea Vedaldi, Victor S. Lempitsky

Texture Networks: Feed-forward Synthesis of Textures and Stylized Images

Details
Discussion Comments: 0
Verification: Authors have not verified information

On the Consistency of Feature Selection With Lasso for Non-linear Targets

Yue Zhang, Weihong Guo, Soumya Ray

On the Consistency of Feature Selection With Lasso for Non-linear Targets

Details
Discussion Comments: 0
Verification: Authors have not verified information

Generative Adversarial Text to Image Synthesis

Scott E. Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, Honglak Lee

Generative Adversarial Text to Image Synthesis

Details
Discussion Comments: 0
Verification: Authors have not verified information

A Random Matrix Approach to Echo-State Neural Networks

Romain Couillet, Gilles Wainrib, Hafiz Tiomoko Ali, Harry Sevi

A Random Matrix Approach to Echo-State Neural Networks

Details
Discussion Comments: 0
Verification: Authors have not verified information

Importance Sampling Tree for Large-scale Empirical Expectation

Olivier Canévet, Cijo Jose, François Fleuret

Importance Sampling Tree for Large-scale Empirical Expectation

Details
Discussion Comments: 0
Verification: Authors have not verified information

Early and Reliable Event Detection Using Proximity Space Representation

Maxime Sangnier, Jérôme Gauthier, Alain Rakotomamonjy

Early and Reliable Event Detection Using Proximity Space Representation

Details
Discussion Comments: 0
Verification: Authors have not verified information

Markov Latent Feature Models

Aonan Zhang, John Paisley

Markov Latent Feature Models

Details
Discussion Comments: 0
Verification: Authors have not verified information

Quadratic Optimization with Orthogonality Constraints: Explicit Lojasiewicz Exponent and Linear Convergence of Line-Search Methods

Huikang Liu, Weijie Wu, Anthony Man-Cho So

Quadratic Optimization with Orthogonality Constraints: Explicit Lojasiewicz Exponent and Linear Convergence of Line-Search Methods

Details
Discussion Comments: 0
Verification: Authors have not verified information

Accurate Robust and Efficient Error Estimation for Decision Trees

Lixin Fan

Accurate Robust and Efficient Error Estimation for Decision Trees

Details
Discussion Comments: 0
Verification: Author has not verified information

Community Recovery in Graphs with Locality

Yuxin Chen, Govinda M. Kamath, Changho Suh, David Tse

Community Recovery in Graphs with Locality

Details
Discussion Comments: 0
Verification: Authors have not verified information

Adaptive Sampling for SGD by Exploiting Side Information

Siddharth Gopal

Adaptive Sampling for SGD by Exploiting Side Information

Details
Discussion Comments: 0
Verification: Author has not verified information

Revisiting Semi-Supervised Learning with Graph Embeddings

Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov

Revisiting Semi-Supervised Learning with Graph Embeddings

Details
Discussion Comments: 0
Verification: Authors have not verified information

Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data Streams

Roy J. Adams, Nazir Saleheen, Edison Thomaz, Abhinav Parate, Santosh Kumar, Benjamin M. Marlin

Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data Streams

Details
Discussion Comments: 0
Verification: Authors have not verified information

Large-Margin Softmax Loss for Convolutional Neural Networks

Weiyang Liu, Yandong Wen, Zhiding Yu, Meng Yang

Large-Margin Softmax Loss for Convolutional Neural Networks

Details
Discussion Comments: 0
Verification: Authors have not verified information

A Theory of Generative ConvNet

Jianwen Xie, Yang Lu, Song-Chun Zhu, Ying Nian Wu

A Theory of Generative ConvNet

Details
Discussion Comments: 0
Verification: Authors have not verified information

Minimizing the Maximal Loss: How and Why

Shai Shalev-Shwartz, Yonatan Wexler

Minimizing the Maximal Loss: How and Why

Details
Discussion Comments: 0
Verification: Authors have not verified information

Black-Box Alpha Divergence Minimization

José Miguel Hernández-Lobato, Yingzhen Li, Mark Rowland, Thang D. Bui, Daniel Hernández-Lobato, Richard E. Turner

Black-Box Alpha Divergence Minimization

Details
Author Comments:
Discussion Comments: 0
Sharing: Research produced artifacts
Verification: Authors have verified information

Benchmarking Deep Reinforcement Learning for Continuous Control

Yan Duan, Xi Chen, Rein Houthooft, John Schulman, Pieter Abbeel

Benchmarking Deep Reinforcement Learning for Continuous Control

Details
Discussion Comments: 0
Verification: Authors have not verified information

Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings

Rie Johnson, Tong Zhang

Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings

Details
Discussion Comments: 0
Verification: Authors have not verified information

Discrete Deep Feature Extraction: A Theory and New Architectures

Thomas Wiatowski, Michael Tschannen, Aleksandar Stanic, Philipp Grohs, Helmut Bölcskei

Discrete Deep Feature Extraction: A Theory and New Architectures

Details
Discussion Comments: 0
Verification: Authors have not verified information

Greedy Column Subset Selection: New Bounds and Distributed Algorithms

Jason Altschuler, Aditya Bhaskara, Gang Fu, Vahab S. Mirrokni, Afshin Rostamizadeh, Morteza Zadimoghaddam

Greedy Column Subset Selection: New Bounds and Distributed Algorithms

Details
Author Comments:
Discussion Comments: 0
Sharing: Other
Verification: Authors have verified information

Continuous Deep Q-Learning with Model-based Acceleration

Shixiang Gu, Timothy P. Lillicrap, Ilya Sutskever, Sergey Levine

Continuous Deep Q-Learning with Model-based Acceleration

Details
Discussion Comments: 0
Verification: Authors have not verified information

No penalty no tears: Least squares in high-dimensional linear models

Xiangyu Wang, David B. Dunson, Chenlei Leng

No penalty no tears: Least squares in high-dimensional linear models

Details
Discussion Comments: 0
Verification: Authors have not verified information

The Segmented iHMM: A Simple, Efficient Hierarchical Infinite HMM

Ardavan Saeedi, Matthew D. Hoffman, Matthew J. Johnson, Ryan P. Adams

The Segmented iHMM: A Simple, Efficient Hierarchical Infinite HMM

Details
Discussion Comments: 0
Verification: Authors have not verified information

Non-negative Matrix Factorization under Heavy Noise

Chiranjib Bhattacharyya, Navin Goyal, Ravindran Kannan, Jagdeep Pani

Non-negative Matrix Factorization under Heavy Noise

Details
Discussion Comments: 0
Verification: Authors have not verified information

Exploiting Cyclic Symmetry in Convolutional Neural Networks

Sander Dieleman, Jeffrey De Fauw, Koray Kavukcuoglu

Exploiting Cyclic Symmetry in Convolutional Neural Networks

Details
Discussion Comments: 0
Verification: Authors have not verified information

Meta-Learning with Memory-Augmented Neural Networks

Adam Santoro, Sergey Bartunov, Matthew Botvinick, Daan Wierstra, Timothy P. Lillicrap

Meta-Learning with Memory-Augmented Neural Networks

Details
Discussion Comments: 0
Verification: Authors have not verified information

Linking losses for density ratio and class-probability estimation

Aditya Krishna Menon, Cheng Soon Ong

Linking losses for density ratio and class-probability estimation

Details
Discussion Comments: 0
Verification: Authors have not verified information

Group Equivariant Convolutional Networks

Taco Cohen, Max Welling

Group Equivariant Convolutional Networks

Details
Discussion Comments: 0
Verification: Authors have not verified information

The Knowledge Gradient for Sequential Decision Making with Stochastic Binary Feedbacks

Yingfei Wang, Chu Wang, Warren B. Powell

The Knowledge Gradient for Sequential Decision Making with Stochastic Binary Feedbacks

Details
Discussion Comments: 0
Verification: Authors have not verified information

Efficient Algorithms for Large-scale Generalized Eigenvector Computation and Canonical Correlation Analysis

Rong Ge, Chi Jin, Sham M. Kakade, Praneeth Netrapalli, Aaron Sidford

Efficient Algorithms for Large-scale Generalized Eigenvector Computation and Canonical Correlation Analysis

Details
Discussion Comments: 0
Verification: Authors have not verified information

Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies

David I. Inouye, Pradeep Ravikumar, Inderjit S. Dhillon

Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies

Details
Discussion Comments: 0
Verification: Authors have not verified information

Boolean Matrix Factorization and Noisy Completion via Message Passing

Siamak Ravanbakhsh, Barnabás Póczos, Russell Greiner

Boolean Matrix Factorization and Noisy Completion via Message Passing

Details
Author Comments:
Discussion Comments: 0
Sharing: Research produced artifacts
Verification: Authors have verified information

Hyperparameter optimization with approximate gradient

Fabian Pedregosa

Hyperparameter optimization with approximate gradient

Details
Discussion Comments: 0
Verification: Author has not verified information

Shifting Regret, Mirror Descent, and Matrices

András György, Csaba Szepesvári

Shifting Regret, Mirror Descent, and Matrices

Details
Discussion Comments: 0
Verification: Authors have not verified information

The Teaching Dimension of Linear Learners

Ji Liu, Xiaojin Zhu, Hrag Ohannessian

The Teaching Dimension of Linear Learners

Details
Discussion Comments: 0
Verification: Authors have not verified information

Learning to Generate with Memory

Chongxuan Li, Jun Zhu, Bo Zhang

Learning to Generate with Memory

Details
Discussion Comments: 0
Verification: Authors have not verified information

SDNA: Stochastic Dual Newton Ascent for Empirical Risk Minimization

Zheng Qu, Peter Richtárik, Martin Takác, Olivier Fercoq

SDNA: Stochastic Dual Newton Ascent for Empirical Risk Minimization

Details
Discussion Comments: 0
Verification: Authors have not verified information

Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications

Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath

Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications

Details
Discussion Comments: 0
Verification: Authors have not verified information

Rich Component Analysis

Rong Ge, James Zou

Rich Component Analysis

Details
Discussion Comments: 0
Verification: Authors have not verified information

Clustering High Dimensional Categorical Data via Topographical Features

Chao Chen, Novi Quadrianto

Clustering High Dimensional Categorical Data via Topographical Features

Details
Discussion Comments: 0
Verification: Authors have not verified information

Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling

Zeyuan Allen Zhu, Zheng Qu, Peter Richtárik, Yang Yuan

Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling

Details
Discussion Comments: 0
Verification: Authors have not verified information

A Kernelized Stein Discrepancy for Goodness-of-fit Tests

Qiang Liu, Jason D. Lee, Michael I. Jordan

A Kernelized Stein Discrepancy for Goodness-of-fit Tests

Details
Discussion Comments: 0
Verification: Authors have not verified information

ADIOS: Architectures Deep In Output Space

Moustapha Cissé, Maruan Al-Shedivat, Samy Bengio

ADIOS: Architectures Deep In Output Space

Details
Discussion Comments: 0
Verification: Authors have not verified information

\(K\)-Means Clustering with Distributed Dimensions

Hu Ding, Yu Liu, Lingxiao Huang, Jian Li

\(K\)-Means Clustering with Distributed Dimensions

Details
Discussion Comments: 0
Verification: Authors have not verified information

Analysis of Deep Neural Networks with Extended Data Jacobian Matrix

Shengjie Wang, Abdel-rahman Mohamed, Rich Caruana, Jeff A. Bilmes, Matthai Philipose, Matthew Richardson, Krzysztof Geras, Gregor Urban, Özlem Aslan

Analysis of Deep Neural Networks with Extended Data Jacobian Matrix

Details
Discussion Comments: 0
Verification: Authors have not verified information

On the Power and Limits of Distance-Based Learning

Periklis A. Papakonstantinou, Jia Xu, Guang Yang

On the Power and Limits of Distance-Based Learning

Details
Discussion Comments: 0
Verification: Authors have not verified information

Complex Embeddings for Simple Link Prediction

Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, Guillaume Bouchard

Complex Embeddings for Simple Link Prediction

Details
Discussion Comments: 0
Verification: Authors have not verified information

Horizontally Scalable Submodular Maximization

Mario Lucic, Olivier Bachem, Morteza Zadimoghaddam, Andreas Krause

Horizontally Scalable Submodular Maximization

Details
Discussion Comments: 0
Verification: Authors have not verified information

BISTRO: An Efficient Relaxation-Based Method for Contextual Bandits

Alexander Rakhlin, Karthik Sridharan

BISTRO: An Efficient Relaxation-Based Method for Contextual Bandits

Details
Discussion Comments: 0
Verification: Authors have not verified information

Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors

Christos Louizos, Max Welling

Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors

Details
Discussion Comments: 0
Verification: Authors have not verified information

Beyond CCA: Moment Matching for Multi-View Models

Anastasia Podosinnikova, Francis R. Bach, Simon Lacoste-Julien

Beyond CCA: Moment Matching for Multi-View Models

Details
Discussion Comments: 0
Verification: Authors have not verified information

Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs

Anton Osokin, Jean-Baptiste Alayrac, Isabella Lukasewitz, Puneet Kumar Dokania, Simon Lacoste-Julien

Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs

Details
Author Comments:
Discussion Comments: 0
Sharing: Research produced artifacts
Verification: Authors have verified information

Simultaneous Safe Screening of Features and Samples in Doubly Sparse Modeling

Atsushi Shibagaki, Masayuki Karasuyama, Kohei Hatano, Ichiro Takeuchi

Simultaneous Safe Screening of Features and Samples in Doubly Sparse Modeling

Details
Discussion Comments: 0
Verification: Authors have not verified information

Mixing Rates for the Alternating Gibbs Sampler over Restricted Boltzmann Machines and Friends

Christopher Tosh

Mixing Rates for the Alternating Gibbs Sampler over Restricted Boltzmann Machines and Friends

Details
Author Comments:
Discussion Comments: 0
Sharing: Research produced no artifacts
Verification: Author has verified information

Slice Sampling on Hamiltonian Trajectories

Benjamin Bloem-Reddy, John Cunningham

Slice Sampling on Hamiltonian Trajectories

Details
Discussion Comments: 0
Verification: Authors have not verified information

Data-driven Rank Breaking for Efficient Rank Aggregation

Ashish Khetan, Sewoong Oh

Data-driven Rank Breaking for Efficient Rank Aggregation

Details
Discussion Comments: 0
Verification: Authors have not verified information

Learning to Filter with Predictive State Inference Machines

Wen Sun, Arun Venkatraman, Byron Boots, J. Andrew Bagnell

Learning to Filter with Predictive State Inference Machines

Details
Discussion Comments: 0
Verification: Authors have not verified information

Speeding up k-means by approximating Euclidean distances via block vectors

Thomas Bottesch, Thomas Bühler, Markus Kächele

Speeding up k-means by approximating Euclidean distances via block vectors

Details
Author Comments:
Discussion Comments: 0
Sharing: Research produced artifacts
Verification: Authors have verified information

Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations

Aaron Schein, Mingyuan Zhou, David M. Blei, Hanna M. Wallach

Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations

Details
Discussion Comments: 0
Verification: Authors have not verified information

Differential Geometric Regularization for Supervised Learning of Classifiers

Qinxun Bai, Steven Rosenberg, Zheng Wu, Stan Sclaroff

Differential Geometric Regularization for Supervised Learning of Classifiers

Details
Author Comments:
Discussion Comments: 0
Sharing: Research produced no artifacts
Verification: Authors have verified information

Efficient Multi-Instance Learning for Activity Recognition from Time Series Data Using an Auto-Regressive Hidden Markov Model

Xinze Guan, Raviv Raich, Weng-Keen Wong

Efficient Multi-Instance Learning for Activity Recognition from Time Series Data Using an Auto-Regressive Hidden Markov Model

Details
Discussion Comments: 0
Verification: Authors have not verified information

Dynamic Memory Networks for Visual and Textual Question Answering

Caiming Xiong, Stephen Merity, Richard Socher

Dynamic Memory Networks for Visual and Textual Question Answering

Details
Discussion Comments: 0
Verification: Authors have not verified information

Principal Component Projection Without Principal Component Analysis

Roy Frostig, Cameron Musco, Christopher Musco, Aaron Sidford

Principal Component Projection Without Principal Component Analysis

Details
Discussion Comments: 0
Verification: Authors have not verified information

The Label Complexity of Mixed-Initiative Classifier Training

Jina Suh, Xiaojin Zhu, Saleema Amershi

The Label Complexity of Mixed-Initiative Classifier Training

Details
Discussion Comments: 0
Verification: Authors have not verified information

Contextual Combinatorial Cascading Bandits

Shuai Li, Baoxiang Wang, Shengyu Zhang, Wei Chen

Contextual Combinatorial Cascading Bandits

Details
Discussion Comments: 0
Verification: Authors have not verified information

Online Learning with Feedback Graphs Without the Graphs

Alon Cohen, Tamir Hazan, Tomer Koren

Online Learning with Feedback Graphs Without the Graphs

Details
Discussion Comments: 0
Verification: Authors have not verified information

Generalized Direct Change Estimation in Ising Model Structure

Farideh Fazayeli, Arindam Banerjee

Generalized Direct Change Estimation in Ising Model Structure

Details
Discussion Comments: 0
Verification: Authors have not verified information

Unsupervised Deep Embedding for Clustering Analysis

Junyuan Xie, Ross B. Girshick, Ali Farhadi

Unsupervised Deep Embedding for Clustering Analysis

Details
Discussion Comments: 0
Verification: Authors have not verified information

Stability of Controllers for Gaussian Process Forward Models

Julia Vinogradska, Bastian Bischoff, Duy Nguyen-Tuong, Anne Romer, Henner Schmidt, Jan Peters

Stability of Controllers for Gaussian Process Forward Models

Details
Discussion Comments: 0
Verification: Authors have not verified information

Structured Prediction Energy Networks

David Belanger, Andrew McCallum

Structured Prediction Energy Networks

Details
Discussion Comments: 0
Verification: Authors have not verified information

Variable Elimination in the Fourier Domain

Yexiang Xue, Stefano Ermon, Ronan Le Bras, Carla P. Gomes, Bart Selman

Variable Elimination in the Fourier Domain

Details
Discussion Comments: 0
Verification: Authors have not verified information

A Box-Constrained Approach for Hard Permutation Problems

Cong Han Lim, Steve Wright

A Box-Constrained Approach for Hard Permutation Problems

Details
Discussion Comments: 0
Verification: Authors have not verified information

Primal-Dual Rates and Certificates

Celestine Dünner, Simone Forte, Martin Takác, Martin Jaggi

Primal-Dual Rates and Certificates

Details
Discussion Comments: 0
Verification: Authors have not verified information

A New PAC-Bayesian Perspective on Domain Adaptation

Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant

A New PAC-Bayesian Perspective on Domain Adaptation

Details
Discussion Comments: 0
Verification: Authors have not verified information

Stochastic Block BFGS: Squeezing More Curvature out of Data

Robert M. Gower, Donald Goldfarb, Peter Richtárik

Stochastic Block BFGS: Squeezing More Curvature out of Data

Details
Discussion Comments: 0
Verification: Authors have not verified information

Epigraph projections for fast general convex programming

Po-Wei Wang, Matt Wytock, J. Zico Kolter

Epigraph projections for fast general convex programming

Details
Discussion Comments: 0
Verification: Authors have not verified information

On the Iteration Complexity of Oblivious First-Order Optimization Algorithms

Yossi Arjevani, Ohad Shamir

On the Iteration Complexity of Oblivious First-Order Optimization Algorithms

Details
Discussion Comments: 0
Verification: Authors have not verified information

Train and Test Tightness of LP Relaxations in Structured Prediction

Ofer Meshi, Mehrdad Mahdavi, Adrian Weller, David Sontag

Train and Test Tightness of LP Relaxations in Structured Prediction

Details
Discussion Comments: 0
Verification: Authors have not verified information

Loss factorization, weakly supervised learning and label noise robustness

Giorgio Patrini, Frank Nielsen, Richard Nock, Marcello Carioni

Loss factorization, weakly supervised learning and label noise robustness

Details
Discussion Comments: 0
Verification: Authors have not verified information

Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units

Wenling Shang, Kihyuk Sohn, Diogo Almeida, Honglak Lee

Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units

Details
Discussion Comments: 0
Verification: Authors have not verified information

Doubly Decomposing Nonparametric Tensor Regression

Masaaki Imaizumi, Kohei Hayashi

Doubly Decomposing Nonparametric Tensor Regression

Details
Discussion Comments: 0
Verification: Authors have not verified information

Exact Exponent in Optimal Rates for Crowdsourcing

Chao Gao, Yu Lu, Dengyong Zhou

Exact Exponent in Optimal Rates for Crowdsourcing

Details
Discussion Comments: 0
Verification: Authors have not verified information

Robust Principal Component Analysis with Side Information

Kai-Yang Chiang, Cho-Jui Hsieh, Inderjit S. Dhillon

Robust Principal Component Analysis with Side Information

Details
Discussion Comments: 0
Verification: Authors have not verified information

The Sum-Product Theorem: A Foundation for Learning Tractable Models

Abram L. Friesen, Pedro M. Domingos

The Sum-Product Theorem: A Foundation for Learning Tractable Models

Details
Author Comments:
Discussion Comments: 0
Sharing: Research produced artifacts
Verification: Authors have verified information

Fast DPP Sampling for Nystrom with Application to Kernel Methods

Chengtao Li, Stefanie Jegelka, Suvrit Sra

Fast DPP Sampling for Nystrom with Application to Kernel Methods

Details
Discussion Comments: 0
Verification: Authors have not verified information

A Neural Autoregressive Approach to Collaborative Filtering

Yin Zheng, Bangsheng Tang, Wenkui Ding, Hanning Zhou

A Neural Autoregressive Approach to Collaborative Filtering

Details
Discussion Comments: 0
Verification: Authors have not verified information

Variance Reduction for Faster Non-Convex Optimization

Zeyuan Allen Zhu, Elad Hazan

Variance Reduction for Faster Non-Convex Optimization

Details
Discussion Comments: 0
Verification: Authors have not verified information

False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking

Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Yuan Yao

False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking

Details
Discussion Comments: 0
Verification: Authors have not verified information

Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity

Quanming Yao, James T. Kwok

Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity

Details
Discussion Comments: 0
Verification: Authors have not verified information

Dealbreaker: A Nonlinear Latent Variable Model for Educational Data

Andrew S. Lan, Tom Goldstein, Richard G. Baraniuk, Christoph Studer

Dealbreaker: A Nonlinear Latent Variable Model for Educational Data

Details
Discussion Comments: 0
Verification: Authors have not verified information

Pixel Recurrent Neural Networks

Aäron van den Oord, Nal Kalchbrenner, Koray Kavukcuoglu

Pixel Recurrent Neural Networks

Details
Discussion Comments: 0
Verification: Authors have not verified information

Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms

Mathieu Blondel, Masakazu Ishihata, Akinori Fujino, Naonori Ueda

Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms

Details
Discussion Comments: 0
Verification: Authors have not verified information

Sequence to Sequence Training of CTC-RNNs with Partial Windowing

Kyuyeon Hwang, Wonyong Sung

Sequence to Sequence Training of CTC-RNNs with Partial Windowing

Details
Discussion Comments: 0
Verification: Authors have not verified information

Matrix Eigen-decomposition via Doubly Stochastic Riemannian Optimization

Zhiqiang Xu, Peilin Zhao, Jianneng Cao, Xiaoli Li

Matrix Eigen-decomposition via Doubly Stochastic Riemannian Optimization

Details
Discussion Comments: 0
Verification: Authors have not verified information

Online Low-Rank Subspace Clustering by Basis Dictionary Pursuit

Jie Shen, Ping Li, Huan Xu

Online Low-Rank Subspace Clustering by Basis Dictionary Pursuit

Details
Discussion Comments: 0
Verification: Authors have not verified information

The Variational Nystrom method for large-scale spectral problems

Max Vladymyrov, Miguel Á. Carreira-Perpiñán

The Variational Nystrom method for large-scale spectral problems

Details
Discussion Comments: 0
Verification: Authors have not verified information

Partition Functions from Rao-Blackwellized Tempered Sampling

David Carlson, Patrick Stinson, Ari Pakman, Liam Paninski

Partition Functions from Rao-Blackwellized Tempered Sampling

Details
Discussion Comments: 0
Verification: Authors have not verified information

Metadata-conscious anonymous messaging

Giulia C. Fanti, Peter Kairouz, Sewoong Oh, Kannan Ramchandran, Pramod Viswanath

Metadata-conscious anonymous messaging

Details
Discussion Comments: 0
Verification: Authors have not verified information

A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery

Ian En-Hsu Yen, Xin Lin, Jiong Zhang, Pradeep Ravikumar, Inderjit S. Dhillon

A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery

Details
Discussion Comments: 0
Verification: Authors have not verified information

Black-box Optimization with a Politician

Sébastien Bubeck, Yin Tat Lee

Black-box Optimization with a Politician

Details
Discussion Comments: 0
Verification: Authors have not verified information

A Convolutional Attention Network for Extreme Summarization of Source Code

Miltiadis Allamanis, Hao Peng, Charles A. Sutton

A Convolutional Attention Network for Extreme Summarization of Source Code

Details
Author Comments:
Discussion Comments: 0
Sharing: Research produced artifacts
Verification: Authors have verified information

Near Optimal Behavior via Approximate State Abstraction

David Abel, D. Ellis Hershkowitz, Michael L. Littman

Near Optimal Behavior via Approximate State Abstraction

Details
Discussion Comments: 0
Verification: Authors have not verified information

Learning Granger Causality for Hawkes Processes

Hongteng Xu, Mehrdad Farajtabar, Hongyuan Zha

Learning Granger Causality for Hawkes Processes

Details
Author Comments:
Discussion Comments: 0
Sharing: Research produced artifacts
Verification: Authors have verified information

SDCA without Duality, Regularization, and Individual Convexity

Shai Shalev-Shwartz

SDCA without Duality, Regularization, and Individual Convexity

Details
Discussion Comments: 0
Verification: Author has not verified information

Deep Gaussian Processes for Regression using Approximate Expectation Propagation

Thang D. Bui, Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Yingzhen Li, Richard E. Turner

Deep Gaussian Processes for Regression using Approximate Expectation Propagation

Details
Discussion Comments: 0
Verification: Authors have not verified information

ForecastICU: A Prognostic Decision Support System for Timely Prediction of Intensive Care Unit Admission

Jinsung Yoon, Ahmed M. Alaa, Scott Hu, Mihaela van der Schaar

ForecastICU: A Prognostic Decision Support System for Timely Prediction of Intensive Care Unit Admission

Details
Discussion Comments: 0
Verification: Authors have not verified information

Convolutional Rectifier Networks as Generalized Tensor Decompositions

Nadav Cohen, Amnon Shashua

Convolutional Rectifier Networks as Generalized Tensor Decompositions

Details
Discussion Comments: 0
Verification: Authors have not verified information

Gaussian process nonparametric tensor estimator and its minimax optimality

Heishiro Kanagawa, Taiji Suzuki, Hayato Kobayashi, Nobuyuki Shimizu, Yukihiro Tagami

Gaussian process nonparametric tensor estimator and its minimax optimality

Details
Discussion Comments: 0
Verification: Authors have not verified information

Generalization and Exploration via Randomized Value Functions

Ian Osband, Benjamin Van Roy, Zheng Wen

Generalization and Exploration via Randomized Value Functions

Details
Discussion Comments: 0
Verification: Authors have not verified information

Domain Adaptation with Conditional Transferable Components

Mingming Gong, Kun Zhang, Tongliang Liu, Dacheng Tao, Clark Glymour, Bernhard Schölkopf

Domain Adaptation with Conditional Transferable Components

Details
Author Comments:
Discussion Comments: 0
Sharing: Research produced artifacts
Verification: Authors have verified information

DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression

Jovana Mitrovic, Dino Sejdinovic, Yee Whye Teh

DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression

Details
Discussion Comments: 0
Verification: Authors have not verified information

Correlation Clustering and Biclustering with Locally Bounded Errors

Gregory J. Puleo, Olgica Milenkovic

Correlation Clustering and Biclustering with Locally Bounded Errors

Details
Discussion Comments: 0
Verification: Authors have not verified information

Nonlinear Statistical Learning with Truncated Gaussian Graphical Models

Qinliang Su, Xuejun Liao, Changyou Chen, Lawrence Carin

Nonlinear Statistical Learning with Truncated Gaussian Graphical Models

Details
Discussion Comments: 0
Verification: Authors have not verified information

Compressive Spectral Clustering

Nicolas Tremblay, Gilles Puy, Rémi Gribonval, Pierre Vandergheynst

Compressive Spectral Clustering

Details
Discussion Comments: 0
Verification: Authors have not verified information

Fast k-means with accurate bounds

James Newling, François Fleuret

Fast k-means with accurate bounds

Details
Discussion Comments: 0
Verification: Authors have not verified information

Efficient Algorithms for Adversarial Contextual Learning

Vasilis Syrgkanis, Akshay Krishnamurthy, Robert E. Schapire

Efficient Algorithms for Adversarial Contextual Learning

Details
Discussion Comments: 0
Verification: Authors have not verified information

Asynchronous Methods for Deep Reinforcement Learning

Volodymyr Mnih, Adrià Puigdomènech Badia, Mehdi Mirza, Alex Graves, Timothy P. Lillicrap, Tim Harley, David Silver, Koray Kavukcuoglu

Asynchronous Methods for Deep Reinforcement Learning

Details
Discussion Comments: 0
Verification: Authors have not verified information

PAC Lower Bounds and Efficient Algorithms for The Max \(K\)-Armed Bandit Problem

Yahel David, Nahum Shimkin

PAC Lower Bounds and Efficient Algorithms for The Max \(K\)-Armed Bandit Problem

Details
Author Comments:
Discussion Comments: 0
Sharing: Research produced no artifacts
Verification: Authors have verified information

Preconditioning Kernel Matrices

Kurt Cutajar, Michael A. Osborne, John Cunningham, Maurizio Filippone

Preconditioning Kernel Matrices

Details
Discussion Comments: 0
Verification: Authors have not verified information

Nonparametric Canonical Correlation Analysis

Tomer Michaeli, Weiran Wang, Karen Livescu

Nonparametric Canonical Correlation Analysis

Details
Discussion Comments: 0
Verification: Authors have not verified information

Variational Inference for Monte Carlo Objectives

Andriy Mnih, Danilo Jimenez Rezende

Variational Inference for Monte Carlo Objectives

Details
Discussion Comments: 0
Verification: Authors have not verified information

Learning from Multiway Data: Simple and Efficient Tensor Regression

Rose Yu, Yan Liu

Learning from Multiway Data: Simple and Efficient Tensor Regression

Details
Discussion Comments: 0
Verification: Authors have not verified information

Stochastic Quasi-Newton Langevin Monte Carlo

Umut Simsekli, Roland Badeau, A. Taylan Cemgil, Gaël Richard

Stochastic Quasi-Newton Langevin Monte Carlo

Details
Discussion Comments: 0
Verification: Authors have not verified information

Learning privately from multiparty data

Jihun Hamm, Yingjun Cao, Mikhail Belkin

Learning privately from multiparty data

Details
Discussion Comments: 0
Verification: Authors have not verified information

Associative Long Short-Term Memory

Ivo Danihelka, Greg Wayne, Benigno Uria, Nal Kalchbrenner, Alex Graves

Associative Long Short-Term Memory

Details
Discussion Comments: 0
Verification: Authors have not verified information

Softened Approximate Policy Iteration for Markov Games

Julien Pérolat, Bilal Piot, Matthieu Geist, Bruno Scherrer, Olivier Pietquin

Softened Approximate Policy Iteration for Markov Games

Details
Discussion Comments: 0
Verification: Authors have not verified information

Fast Stochastic Algorithms for SVD and PCA: Convergence Properties and Convexity

Ohad Shamir

Fast Stochastic Algorithms for SVD and PCA: Convergence Properties and Convexity

Details
Discussion Comments: 0
Verification: Author has not verified information

Generalization Properties and Implicit Regularization for Multiple Passes SGM

Junhong Lin, Raffaello Camoriano, Lorenzo Rosasco

Generalization Properties and Implicit Regularization for Multiple Passes SGM

Details
Discussion Comments: 0
Verification: Authors have not verified information

One-Shot Generalization in Deep Generative Models

Danilo Jimenez Rezende, Shakir Mohamed, Ivo Danihelka, Karol Gregor, Daan Wierstra

One-Shot Generalization in Deep Generative Models

Details
Discussion Comments: 0
Verification: Authors have not verified information

Smooth Imitation Learning for Online Sequence Prediction

Hoang Minh Le, Andrew Kang, Yisong Yue, Peter Carr

Smooth Imitation Learning for Online Sequence Prediction

Details
Discussion Comments: 0
Verification: Authors have not verified information

Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling

Christopher De Sa, Christopher Ré, Kunle Olukotun

Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling

Details
Discussion Comments: 0
Verification: Authors have not verified information

Gaussian quadrature for matrix inverse forms with applications

Chengtao Li, Suvrit Sra, Stefanie Jegelka

Gaussian quadrature for matrix inverse forms with applications

Details
Discussion Comments: 0
Verification: Authors have not verified information

Beyond Parity Constraints: Fourier Analysis of Hash Functions for Inference

Tudor Achim, Ashish Sabharwal, Stefano Ermon

Beyond Parity Constraints: Fourier Analysis of Hash Functions for Inference

Details
Discussion Comments: 0
Verification: Authors have not verified information

Hierarchical Variational Models

Rajesh Ranganath, Dustin Tran, David M. Blei

Hierarchical Variational Models

Details
Discussion Comments: 0
Verification: Authors have not verified information

Automatic Construction of Nonparametric Relational Regression Models for Multiple Time Series

Yunseong Hwang, Anh Tong, Jaesik Choi

Automatic Construction of Nonparametric Relational Regression Models for Multiple Time Series

Details
Discussion Comments: 0
Verification: Authors have not verified information

A Deep Learning Approach to Unsupervised Ensemble Learning

Uri Shaham, Xiuyuan Cheng, Omer Dror, Ariel Jaffe, Boaz Nadler, Joseph T. Chang, Yuval Kluger

A Deep Learning Approach to Unsupervised Ensemble Learning

Details
Discussion Comments: 0
Verification: Authors have not verified information

Interacting Particle Markov Chain Monte Carlo

Tom Rainforth, Christian A. Naesseth, Fredrik Lindsten, Brooks Paige, Jan-Willem van de Meent, Arnaud Doucet, Frank Wood

Interacting Particle Markov Chain Monte Carlo

Details
Author Comments:
Discussion Comments: 0
Sharing: Research produced artifacts
Verification: Authors have verified information

Binary embeddings with structured hashed projections

Anna Choromanska, Krzysztof Choromanski, Mariusz Bojarski, Tony Jebara, Sanjiv Kumar, Yann LeCun

Binary embeddings with structured hashed projections

Details
Discussion Comments: 0
Verification: Authors have not verified information

Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives

Zeyuan Allen Zhu, Yang Yuan

Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives

Details
Discussion Comments: 0
Verification: Authors have not verified information

Towards Faster Rates and Oracle Property for Low-Rank Matrix Estimation

Huan Gui, Jiawei Han, Quanquan Gu

Towards Faster Rates and Oracle Property for Low-Rank Matrix Estimation

Details
Discussion Comments: 0
Verification: Authors have not verified information

Convergence of Stochastic Gradient Descent for PCA

Ohad Shamir

Convergence of Stochastic Gradient Descent for PCA

Details
Discussion Comments: 0
Verification: Author has not verified information

Learning Convolutional Neural Networks for Graphs

Mathias Niepert, Mohamed Ahmed, Konstantin Kutzkov

Learning Convolutional Neural Networks for Graphs

Details
Discussion Comments: 0
Verification: Authors have not verified information

On the Quality of the Initial Basin in Overspecified Neural Networks

Itay Safran, Ohad Shamir

On the Quality of the Initial Basin in Overspecified Neural Networks

Details
Discussion Comments: 0
Verification: Authors have not verified information

Fast Parameter Inference in Nonlinear Dynamical Systems using Iterative Gradient Matching

Mu Niu, Simon Rogers, Maurizio Filippone, Dirk Husmeier

Fast Parameter Inference in Nonlinear Dynamical Systems using Iterative Gradient Matching

Details
Discussion Comments: 0
Verification: Authors have not verified information

Learning Simple Algorithms from Examples

Wojciech Zaremba, Tomas Mikolov, Armand Joulin, Rob Fergus

Learning Simple Algorithms from Examples

Details
Discussion Comments: 0
Verification: Authors have not verified information

Optimality of Belief Propagation for Crowdsourced Classification

Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yung Yi

Optimality of Belief Propagation for Crowdsourced Classification

Details
Discussion Comments: 0
Verification: Authors have not verified information

Learning and Inference via Maximum Inner Product Search

Stephen Mussmann, Stefano Ermon

Learning and Inference via Maximum Inner Product Search

Details
Discussion Comments: 0
Verification: Authors have not verified information

Fast methods for estimating the Numerical rank of large matrices

Shashanka Ubaru, Yousef Saad

Fast methods for estimating the Numerical rank of large matrices

Details
Discussion Comments: 0
Verification: Authors have not verified information

CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy

Ran Gilad-Bachrach, Nathan Dowlin, Kim Laine, Kristin E. Lauter, Michael Naehrig, John Wernsing

CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy

Details
Discussion Comments: 0
Verification: Authors have not verified information

Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters

Jelena Luketina, Tapani Raiko, Mathias Berglund, Klaus Greff

Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters

Details
Author Comments:
Discussion Comments: 0
Sharing: Research produced artifacts
Verification: Authors have verified information

Analysis of Variational Bayesian Factorizations for Sparse and Low-Rank Estimation

David P. Wipf

Analysis of Variational Bayesian Factorizations for Sparse and Low-Rank Estimation

Details
Discussion Comments: 0
Verification: Author has not verified information

Dropout distillation

Samuel Rota Bulò, Lorenzo Porzi, Peter Kontschieder

Dropout distillation

Details
Discussion Comments: 0
Verification: Authors have not verified information

A Superlinearly-Convergent Proximal Newton-type Method for the Optimization of Finite Sums

Anton Rodomanov, Dmitry Kropotov

A Superlinearly-Convergent Proximal Newton-type Method for the Optimization of Finite Sums

Details
Discussion Comments: 0
Verification: Authors have not verified information

Computationally Efficient Nyström Approximation using Fast Transforms

Si Si, Cho-Jui Hsieh, Inderjit S. Dhillon

Computationally Efficient Nyström Approximation using Fast Transforms

Details
Discussion Comments: 0
Verification: Authors have not verified information

Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

Yarin Gal, Zoubin Ghahramani

Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

Details
Discussion Comments: 0
Verification: Authors have not verified information

A Simple and Provable Algorithm for Sparse Diagonal CCA

Megasthenis Asteris, Anastasios Kyrillidis, Oluwasanmi Koyejo, Russell A. Poldrack

A Simple and Provable Algorithm for Sparse Diagonal CCA

Details
Discussion Comments: 0
Verification: Authors have not verified information

Expressiveness of Rectifier Networks

Xingyuan Pan, Vivek Srikumar

Expressiveness of Rectifier Networks

Details
Discussion Comments: 0
Verification: Authors have not verified information

Efficient Private Empirical Risk Minimization for High-dimensional Learning

Shiva Prasad Kasiviswanathan, Hongxia Jin

Efficient Private Empirical Risk Minimization for High-dimensional Learning

Details
Discussion Comments: 0
Verification: Authors have not verified information

Stochastic Variance Reduction for Nonconvex Optimization

Sashank J. Reddi, Ahmed Hefny, Suvrit Sra, Barnabás Póczos, Alexander J. Smola

Stochastic Variance Reduction for Nonconvex Optimization

Details
Discussion Comments: 0
Verification: Authors have not verified information

Noisy Activation Functions

Çaglar Gülçehre, Marcin Moczulski, Misha Denil, Yoshua Bengio

Noisy Activation Functions

Details
Discussion Comments: 0
Verification: Authors have not verified information

Opponent Modeling in Deep Reinforcement Learning

He He, Jordan L. Boyd-Graber

Opponent Modeling in Deep Reinforcement Learning

Details
Discussion Comments: 0
Verification: Authors have not verified information

Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing

Marco Gaboardi, Hyun-Woo Lim, Ryan M. Rogers, Salil P. Vadhan

Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing

Details
Discussion Comments: 0
Verification: Authors have not verified information

Markov-modulated Marked Poisson Processes for Check-in Data

Jiangwei Pan, Vinayak Rao, Pankaj K. Agarwal, Alan E. Gelfand

Markov-modulated Marked Poisson Processes for Check-in Data

Details
Discussion Comments: 0
Verification: Authors have not verified information

Correcting Forecasts with Multifactor Neural Attention

Matthew Riemer, Aditya Vempaty, Flávio du Pin Calmon, Fenno F. Terry Heath III, Richard Hull, Elham Khabiri

Correcting Forecasts with Multifactor Neural Attention

Details
Discussion Comments: 0
Verification: Authors have not verified information

Estimating Cosmological Parameters from the Dark Matter Distribution

Siamak Ravanbakhsh, Junier B. Oliva, Sebastian Fromenteau, Layne Price, Shirley Ho, Jeff G. Schneider, Barnabás Póczos

Estimating Cosmological Parameters from the Dark Matter Distribution

Details
Discussion Comments: 0
Verification: Authors have not verified information

Variance-Reduced and Projection-Free Stochastic Optimization

Elad Hazan, Haipeng Luo

Variance-Reduced and Projection-Free Stochastic Optimization

Details
Discussion Comments: 0
Verification: Authors have not verified information

A ranking approach to global optimization

Cedric Malherbe, Emile Contal, Nicolas Vayatis

A ranking approach to global optimization

Details
Discussion Comments: 0
Verification: Authors have not verified information

BASC: Applying Bayesian Optimization to the Search for Global Minima on Potential Energy Surfaces

Shane Carr, Roman Garnett, Cynthia Lo

BASC: Applying Bayesian Optimization to the Search for Global Minima on Potential Energy Surfaces

Details
Author Comments:
Discussion Comments: 0
Sharing: Research produced artifacts
Verification: Authors have verified information

Discrete Distribution Estimation under Local Privacy

Peter Kairouz, Keith Bonawitz, Daniel Ramage

Discrete Distribution Estimation under Local Privacy

Details
Discussion Comments: 0
Verification: Authors have not verified information

A Simple and Strongly-Local Flow-Based Method for Cut Improvement

Nate Veldt, David F. Gleich, Michael W. Mahoney

A Simple and Strongly-Local Flow-Based Method for Cut Improvement

Details
Discussion Comments: 0
Verification: Authors have not verified information

Faster Convex Optimization: Simulated Annealing with an Efficient Universal Barrier

Jacob D. Abernethy, Elad Hazan

Faster Convex Optimization: Simulated Annealing with an Efficient Universal Barrier

Details
Discussion Comments: 0
Verification: Authors have not verified information

Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning

Philip S. Thomas, Emma Brunskill

Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning

Details
Discussion Comments: 0
Verification: Authors have not verified information

Learning Mixtures of Plackett-Luce Models

Zhibing Zhao, Peter Piech, Lirong Xia

Learning Mixtures of Plackett-Luce Models

Details
Discussion Comments: 0
Verification: Authors have not verified information

Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks

Devansh Arpit, Yingbo Zhou, Bhargava Urala Kota, Venu Govindaraju

Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks

Details
Discussion Comments: 0
Verification: Authors have not verified information

Differentially Private Policy Evaluation

Borja Balle, Maziar Gomrokchi, Doina Precup

Differentially Private Policy Evaluation

Details
Discussion Comments: 0
Verification: Authors have not verified information

Fast Algorithms for Segmented Regression

Jayadev Acharya, Ilias Diakonikolas, Jerry Li, Ludwig Schmidt

Fast Algorithms for Segmented Regression

Details
Author Comments:
Discussion Comments: 0
Sharing: Research produced artifacts
Verification: Authors have verified information

Model-Free Imitation Learning with Policy Optimization

Jonathan Ho, Jayesh K. Gupta, Stefano Ermon

Model-Free Imitation Learning with Policy Optimization

Details
Author Comments:
Discussion Comments: 0
Sharing: Not able to share produced artifacts
Verification: Authors have verified information

Dynamic Capacity Networks

Amjad Almahairi, Nicolas Ballas, Tim Cooijmans, Yin Zheng, Hugo Larochelle, Aaron C. Courville

Dynamic Capacity Networks

Details
Discussion Comments: 0
Verification: Authors have not verified information

Deep Structured Energy Based Models for Anomaly Detection

Shuangfei Zhai, Yu Cheng, Weining Lu, Zhongfei Zhang

Deep Structured Energy Based Models for Anomaly Detection

Details
Discussion Comments: 0
Verification: Authors have not verified information

Online Stochastic Linear Optimization under One-bit Feedback

Lijun Zhang, Tianbao Yang, Rong Jin, Yichi Xiao, Zhi-Hua Zhou

Online Stochastic Linear Optimization under One-bit Feedback

Details
Discussion Comments: 0
Verification: Authors have not verified information

Additive Approximations in High Dimensional Nonparametric Regression via the SALSA

Kirthevasan Kandasamy, Yaoliang Yu

Additive Approximations in High Dimensional Nonparametric Regression via the SALSA

Details
Discussion Comments: 0
Verification: Authors have not verified information

PHOG: Probabilistic Model for Code

Pavol Bielik, Veselin Raychev, Martin T. Vechev

PHOG: Probabilistic Model for Code

Details
Discussion Comments: 0
Verification: Authors have not verified information

Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning

Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Jarvis D. Haupt

Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning

Details
Discussion Comments: 0
Verification: Authors have not verified information

Network Morphism

Tao Wei, Changhu Wang, Yong Rui, Chang Wen Chen

Network Morphism

Details
Discussion Comments: 0
Verification: Authors have not verified information

Gromov-Wasserstein Averaging of Kernel and Distance Matrices

Gabriel Peyré, Marco Cuturi, Justin Solomon

Gromov-Wasserstein Averaging of Kernel and Distance Matrices

Details
Discussion Comments: 0
Verification: Authors have not verified information

Training Neural Networks Without Gradients: A Scalable ADMM Approach

Gavin Taylor, Ryan Burmeister, Zheng Xu, Bharat Singh, Ankit Patel, Tom Goldstein

Training Neural Networks Without Gradients: A Scalable ADMM Approach

Details
Discussion Comments: 0
Verification: Authors have not verified information

Extreme F-measure Maximization using Sparse Probability Estimates

Kalina Jasinska, Krzysztof Dembczynski, Róbert Busa-Fekete, Karlson Pfannschmidt, Timo Klerx, Eyke Hüllermeier

Extreme F-measure Maximization using Sparse Probability Estimates

Details
Author Comments:
Discussion Comments: 0
Sharing: Research produced artifacts
Verification: Authors have verified information

No Oops, You Won't Do It Again: Mechanisms for Self-correction in Crowdsourcing

Nihar B. Shah, Dengyong Zhou

No Oops, You Won't Do It Again: Mechanisms for Self-correction in Crowdsourcing

Details
Discussion Comments: 0
Verification: Authors have not verified information

Asymmetric Multi-task Learning based on Task Relatedness and Confidence

Giwoong Lee, Eunho Yang, Sung Ju Hwang

Asymmetric Multi-task Learning based on Task Relatedness and Confidence

Details
Discussion Comments: 0
Verification: Authors have not verified information

Low-Rank Matrix Approximation with Stability

Dongsheng Li, Chao Chen, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu

Low-Rank Matrix Approximation with Stability

Details
Discussion Comments: 0
Verification: Authors have not verified information

Representational Similarity Learning with Application to Brain Networks

Urvashi Oswal, Christopher R. Cox, Matthew A. Lambon Ralph, Timothy T. Rogers, Robert D. Nowak

Representational Similarity Learning with Application to Brain Networks

Details
Discussion Comments: 0
Verification: Authors have not verified information

Fixed Point Quantization of Deep Convolutional Networks

Darryl Dexu Lin, Sachin S. Talathi, V. Sreekanth Annapureddy

Fixed Point Quantization of Deep Convolutional Networks

Details
Discussion Comments: 0
Verification: Authors have not verified information

Heteroscedastic Sequences: Beyond Gaussianity

Oren Anava, Shie Mannor

Heteroscedastic Sequences: Beyond Gaussianity

Details
Discussion Comments: 0
Verification: Authors have not verified information

Estimating Accuracy from Unlabeled Data: A Bayesian Approach

Emmanouil Antonios Platanios, Avinava Dubey, Tom M. Mitchell

Estimating Accuracy from Unlabeled Data: A Bayesian Approach

Details
Discussion Comments: 0
Verification: Authors have not verified information

Low-rank Solutions of Linear Matrix Equations via Procrustes Flow

Stephen Tu, Ross Boczar, Max Simchowitz, Mahdi Soltanolkotabi, Ben Recht

Low-rank Solutions of Linear Matrix Equations via Procrustes Flow

Details
Discussion Comments: 0
Verification: Authors have not verified information

Dictionary Learning for Massive Matrix Factorization

Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux

Dictionary Learning for Massive Matrix Factorization

Details
Discussion Comments: 0
Verification: Authors have not verified information

Training Deep Neural Networks via Direct Loss Minimization

Yang Song, Alexander G. Schwing, Richard S. Zemel, Raquel Urtasun

Training Deep Neural Networks via Direct Loss Minimization

Details
Discussion Comments: 0
Verification: Authors have not verified information

Parameter Estimation for Generalized Thurstone Choice Models

Milan Vojnovic, Se-Young Yun

Parameter Estimation for Generalized Thurstone Choice Models

Details
Discussion Comments: 0
Verification: Authors have not verified information

Stochastic Discrete Clenshaw-Curtis Quadrature

Nico Piatkowski, Katharina Morik

Stochastic Discrete Clenshaw-Curtis Quadrature

Details
Discussion Comments: 0
Verification: Authors have not verified information

Hierarchical Decision Making In Electricity Grid Management

Gal Dalal, Elad Gilboa, Shie Mannor

Hierarchical Decision Making In Electricity Grid Management

Details
Author Comments:
Discussion Comments: 0
Sharing: Research produced artifacts
Verification: Authors have verified information

A Kronecker-factored approximate Fisher matrix for convolution layers

Roger B. Grosse, James Martens

A Kronecker-factored approximate Fisher matrix for convolution layers

Details
Discussion Comments: 0
Verification: Authors have not verified information

Persistent RNNs: Stashing Recurrent Weights On-Chip

Greg Diamos, Shubho Sengupta, Bryan Catanzaro, Mike Chrzanowski, Adam Coates, Erich Elsen, Jesse Engel, Awni Y. Hannun, Sanjeev Satheesh

Persistent RNNs: Stashing Recurrent Weights On-Chip

Details
Discussion Comments: 0
Verification: Authors have not verified information

Copeland Dueling Bandit Problem: Regret Lower Bound, Optimal Algorithm, and Computationally Efficient Algorithm

Junpei Komiyama, Junya Honda, Hiroshi Nakagawa

Copeland Dueling Bandit Problem: Regret Lower Bound, Optimal Algorithm, and Computationally Efficient Algorithm

Details
Discussion Comments: 0
Verification: Authors have not verified information

On the Statistical Limits of Convex Relaxations

Zhaoran Wang, Quanquan Gu, Han Liu

On the Statistical Limits of Convex Relaxations

Details
Discussion Comments: 0
Verification: Authors have not verified information

Algorithms for Optimizing the Ratio of Submodular Functions

Wenruo Bai, Rishabh K. Iyer, Kai Wei, Jeff A. Bilmes

Algorithms for Optimizing the Ratio of Submodular Functions

Details
Discussion Comments: 0
Verification: Authors have not verified information

Pricing a Low-regret Seller

Hoda Heidari, Mohammad Mahdian, Umar Syed, Sergei Vassilvitskii, Sadra Yazdanbod

Pricing a Low-regret Seller

Details
Discussion Comments: 0
Verification: Authors have not verified information

Multi-Player Bandits - a Musical Chairs Approach

Jonathan Rosenski, Ohad Shamir, Liran Szlak

Multi-Player Bandits - a Musical Chairs Approach

Details
Discussion Comments: 0
Verification: Authors have not verified information

Stochastic Optimization for Multiview Representation Learning using Partial Least Squares

Raman Arora, Poorya Mianjy, Teodor V. Marinov

Stochastic Optimization for Multiview Representation Learning using Partial Least Squares

Details
Discussion Comments: 0
Verification: Authors have not verified information

Unitary Evolution Recurrent Neural Networks

Martín Arjovsky, Amar Shah, Yoshua Bengio

Unitary Evolution Recurrent Neural Networks

Details
Discussion Comments: 0
Verification: Authors have not verified information

The Arrow of Time in Multivariate Time Series

Stefan Bauer, Bernhard Schölkopf, Jonas Peters

The Arrow of Time in Multivariate Time Series

Details
Discussion Comments: 0
Verification: Authors have not verified information

Dueling Network Architectures for Deep Reinforcement Learning

Ziyu Wang, Tom Schaul, Matteo Hessel, Hado van Hasselt, Marc Lanctot, Nando de Freitas

Dueling Network Architectures for Deep Reinforcement Learning

Details
Discussion Comments: 0
Verification: Authors have not verified information

Train faster, generalize better: Stability of stochastic gradient descent

Moritz Hardt, Ben Recht, Yoram Singer

Train faster, generalize better: Stability of stochastic gradient descent

Details
Discussion Comments: 0
Verification: Authors have not verified information

Doubly Robust Off-policy Value Evaluation for Reinforcement Learning

Nan Jiang, Lihong Li

Doubly Robust Off-policy Value Evaluation for Reinforcement Learning

Details
Discussion Comments: 0
Verification: Authors have not verified information

Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient

Tianbao Yang, Lijun Zhang, Rong Jin, Jinfeng Yi

Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient

Details
Discussion Comments: 0
Verification: Authors have not verified information

Autoencoding beyond pixels using a learned similarity metric

Anders Boesen Lindbo Larsen, Søren Kaae Sønderby, Hugo Larochelle, Ole Winther

Autoencoding beyond pixels using a learned similarity metric

Details
Discussion Comments: 0
Verification: Authors have not verified information

k-variates++: more pluses in the k-means++

Richard Nock, Raphaël Canyasse, Roksana Boreli, Frank Nielsen

k-variates++: more pluses in the k-means++

Details
Discussion Comments: 0
Verification: Authors have not verified information

Estimation from Indirect Supervision with Linear Moments

Aditi Raghunathan, Roy Frostig, John Duchi, Percy Liang

Estimation from Indirect Supervision with Linear Moments

Details
Discussion Comments: 0
Verification: Authors have not verified information

Starting Small - Learning with Adaptive Sample Sizes

Hadi Daneshmand, Aurélien Lucchi, Thomas Hofmann

Starting Small - Learning with Adaptive Sample Sizes

Details
Discussion Comments: 0
Verification: Authors have not verified information

Estimating Structured Vector Autoregressive Models

Igor Melnyk, Arindam Banerjee

Estimating Structured Vector Autoregressive Models

Details
Discussion Comments: 0
Verification: Authors have not verified information

Evasion and Hardening of Tree Ensemble Classifiers

Alex Kantchelian, J. D. Tygar, Anthony D. Joseph

Evasion and Hardening of Tree Ensemble Classifiers

Details
Discussion Comments: 0
Verification: Authors have not verified information

Energetic Natural Gradient Descent

Philip S. Thomas, Bruno Castro da Silva, Christoph Dann, Emma Brunskill

Energetic Natural Gradient Descent

Details
Discussion Comments: 0
Verification: Authors have not verified information

Auxiliary Deep Generative Models

Lars Maaløe, Casper Kaae Sønderby, Søren Kaae Sønderby, Ole Winther

Auxiliary Deep Generative Models

Details
Discussion Comments: 0
Verification: Authors have not verified information

Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification

Yuting Zhang, Kibok Lee, Honglak Lee

Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification

Details
Author Comments:
Discussion Comments: 0
Sharing: Research produced artifacts
Verification: Authors have verified information

Neural Variational Inference for Text Processing

Yishu Miao, Lei Yu, Phil Blunsom

Neural Variational Inference for Text Processing

Details
Discussion Comments: 0
Verification: Authors have not verified information

Ask Me Anything: Dynamic Memory Networks for Natural Language Processing

Ankit Kumar, Ozan Irsoy, Peter Ondruska, Mohit Iyyer, James Bradbury, Ishaan Gulrajani, Victor Zhong, Romain Paulus, Richard Socher

Ask Me Anything: Dynamic Memory Networks for Natural Language Processing

Details
Discussion Comments: 0
Verification: Authors have not verified information

Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data

Sandhya Prabhakaran, Elham Azizi, Ambrose Carr, Dana Pe'er

Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data

Details
Discussion Comments: 0
Verification: Authors have not verified information

Barron and Cover's Theory in Supervised Learning and its Application to Lasso

Masanori Kawakita, Jun'ichi Takeuchi

Barron and Cover's Theory in Supervised Learning and its Application to Lasso

Details
Discussion Comments: 0
Verification: Authors have not verified information

Fast Constrained Submodular Maximization: Personalized Data Summarization

Baharan Mirzasoleiman, Ashwinkumar Badanidiyuru, Amin Karbasi

Fast Constrained Submodular Maximization: Personalized Data Summarization

Details
Discussion Comments: 0
Verification: Authors have not verified information

Conditional Bernoulli Mixtures for Multi-label Classification

Cheng Li, Bingyu Wang, Virgil Pavlu, Javed A. Aslam

Conditional Bernoulli Mixtures for Multi-label Classification

Details
Author Comments:
Discussion Comments: 0
Sharing: Research produced artifacts
Verification: Authors have verified information

On Graduated Optimization for Stochastic Non-Convex Problems

Elad Hazan, Kfir Yehuda Levy, Shai Shalev-Shwartz

On Graduated Optimization for Stochastic Non-Convex Problems

Details
Discussion Comments: 0
Verification: Authors have not verified information

DCM Bandits: Learning to Rank with Multiple Clicks

Sumeet Katariya, Branislav Kveton, Csaba Szepesvári, Zheng Wen

DCM Bandits: Learning to Rank with Multiple Clicks

Details
Discussion Comments: 0
Verification: Authors have not verified information

Geometric Mean Metric Learning

Pourya Zadeh, Reshad Hosseini, Suvrit Sra

Geometric Mean Metric Learning

Details
Discussion Comments: 0
Verification: Authors have not verified information

How to Fake Multiply by a Gaussian Matrix

Michael Kapralov, Vamsi K. Potluru, David P. Woodruff

How to Fake Multiply by a Gaussian Matrix

Details
Discussion Comments: 0
Verification: Authors have not verified information

Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms

Yu-Xiang Wang, Veeranjaneyulu Sadhanala, Wei Dai, Willie Neiswanger, Suvrit Sra, Eric P. Xing

Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms

Details
Discussion Comments: 0
Verification: Authors have not verified information

Recovery guarantee of weighted low-rank approximation via alternating minimization

Yuanzhi Li, Yingyu Liang, Andrej Risteski

Recovery guarantee of weighted low-rank approximation via alternating minimization

Details
Discussion Comments: 0
Verification: Authors have not verified information

Experimental Design on a Budget for Sparse Linear Models and Applications

Sathya N. Ravi, Vamsi K. Ithapu, Sterling C. Johnson, Vikas Singh

Experimental Design on a Budget for Sparse Linear Models and Applications

Details
Discussion Comments: 0
Verification: Authors have not verified information

Adaptive Algorithms for Online Convex Optimization with Long-term Constraints

Rodolphe Jenatton, Jim C. Huang, Cédric Archambeau

Adaptive Algorithms for Online Convex Optimization with Long-term Constraints

Details
Discussion Comments: 0
Verification: Authors have not verified information

Power of Ordered Hypothesis Testing

Lihua Lei, William Fithian

Power of Ordered Hypothesis Testing

Details
Discussion Comments: 0
Verification: Authors have not verified information

A Distributed Variational Inference Framework for Unifying Parallel Sparse Gaussian Process Regression Models

Trong Nghia Hoang, Quang Minh Hoang, Bryan Kian Hsiang Low

A Distributed Variational Inference Framework for Unifying Parallel Sparse Gaussian Process Regression Models

Details
Discussion Comments: 0
Verification: Authors have not verified information

Discriminative Embeddings of Latent Variable Models for Structured Data

Hanjun Dai, Bo Dai, Le Song

Discriminative Embeddings of Latent Variable Models for Structured Data

Details
Discussion Comments: 0
Verification: Authors have not verified information

Learning Population-Level Diffusions with Generative RNNs

Tatsunori B. Hashimoto, David K. Gifford, Tommi S. Jaakkola

Learning Population-Level Diffusions with Generative RNNs

Details
Discussion Comments: 0
Verification: Authors have not verified information

Truthful Univariate Estimators

Ioannis Caragiannis, Ariel D. Procaccia, Nisarg Shah

Truthful Univariate Estimators

Details
Discussion Comments: 0
Verification: Authors have not verified information

Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues

Nihar B. Shah, Sivaraman Balakrishnan, Aditya Guntuboyina, Martin J. Wainwright

Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues

Details
Discussion Comments: 0
Verification: Authors have not verified information

Structure Learning of Partitioned Markov Networks

Song Liu, Taiji Suzuki, Masashi Sugiyama, Kenji Fukumizu

Structure Learning of Partitioned Markov Networks

Details
Discussion Comments: 0
Verification: Authors have not verified information

Strongly-Typed Recurrent Neural Networks

David Balduzzi, Muhammad Ghifary

Strongly-Typed Recurrent Neural Networks

Details
Discussion Comments: 0
Verification: Authors have not verified information

Minimum Regret Search for Single- and Multi-Task Optimization

Jan Hendrik Metzen

Minimum Regret Search for Single- and Multi-Task Optimization

Details
Discussion Comments: 0
Verification: Author has not verified information

Anytime optimal algorithms in stochastic multi-armed bandits

Rémy Degenne, Vianney Perchet

Anytime optimal algorithms in stochastic multi-armed bandits

Details
Discussion Comments: 0
Verification: Authors have not verified information

PAC learning of Probabilistic Automaton based on the Method of Moments

Hadrien Glaude, Olivier Pietquin

PAC learning of Probabilistic Automaton based on the Method of Moments

Details
Discussion Comments: 0
Verification: Authors have not verified information

Extended and Unscented Kitchen Sinks

Edwin V. Bonilla, Daniel M. Steinberg, Alistair Reid

Extended and Unscented Kitchen Sinks

Details
Discussion Comments: 0
Verification: Authors have not verified information

Learning Physical Intuition of Block Towers by Example

Adam Lerer, Sam Gross, Rob Fergus

Learning Physical Intuition of Block Towers by Example

Details
Discussion Comments: 0
Verification: Authors have not verified information

Fast k-Nearest Neighbour Search via Dynamic Continuous Indexing

Ke Li, Jitendra Malik

Fast k-Nearest Neighbour Search via Dynamic Continuous Indexing

Details
Discussion Comments: 0
Verification: Authors have not verified information

Graying the black box: Understanding DQNs

Tom Zahavy, Nir Ben-Zrihem, Shie Mannor

Graying the black box: Understanding DQNs

Details
Discussion Comments: 0
Verification: Authors have not verified information

Robust Monte Carlo Sampling using Riemannian Nosé-Poincaré Hamiltonian Dynamics

Anirban Roychowdhury, Brian Kulis, Srinivasan Parthasarathy

Robust Monte Carlo Sampling using Riemannian Nosé-Poincaré Hamiltonian Dynamics

Details
Discussion Comments: 0
Verification: Authors have not verified information

Provable Algorithms for Inference in Topic Models

Sanjeev Arora, Rong Ge, Frederic Koehler, Tengyu Ma, Ankur Moitra

Provable Algorithms for Inference in Topic Models

Details
Discussion Comments: 0
Verification: Authors have not verified information

Conservative Bandits

Yifan Wu, Roshan Shariff, Tor Lattimore, Csaba Szepesvári

Conservative Bandits

Details
Discussion Comments: 0
Verification: Authors have not verified information

Factored Temporal Sigmoid Belief Networks for Sequence Learning

Jiaming Song, Zhe Gan, Lawrence Carin

Factored Temporal Sigmoid Belief Networks for Sequence Learning

Details
Discussion Comments: 0
Verification: Authors have not verified information

Recurrent Orthogonal Networks and Long-Memory Tasks

Mikael Henaff, Arthur Szlam, Yann LeCun

Recurrent Orthogonal Networks and Long-Memory Tasks

Details
Discussion Comments: 0
Verification: Authors have not verified information

Multi-Bias Non-linear Activation in Deep Neural Networks

Hongyang Li, Wanli Ouyang, Xiaogang Wang

Multi-Bias Non-linear Activation in Deep Neural Networks

Details
Discussion Comments: 0
Verification: Authors have not verified information

Predictive Entropy Search for Multi-objective Bayesian Optimization

Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Amar Shah, Ryan P. Adams

Predictive Entropy Search for Multi-objective Bayesian Optimization

Details
Discussion Comments: 0
Verification: Authors have not verified information

From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification

André F. T. Martins, Ramón Fernández Astudillo

From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification

Details
Discussion Comments: 0
Verification: Authors have not verified information

Faster Eigenvector Computation via Shift-and-Invert Preconditioning

Dan Garber, Elad Hazan, Chi Jin, Sham M. Kakade, Cameron Musco, Praneeth Netrapalli, Aaron Sidford

Faster Eigenvector Computation via Shift-and-Invert Preconditioning

Details
Discussion Comments: 0
Verification: Authors have not verified information

A Comparative Analysis and Study of Multiview CNN Models for Joint Object Categorization and Pose Estimation

Mohamed Elhoseiny, Tarek El-Gaaly, Amr Bakry, Ahmed M. Elgammal

A Comparative Analysis and Study of Multiview CNN Models for Joint Object Categorization and Pose Estimation

Details
Discussion Comments: 0
Verification: Authors have not verified information

Deconstructing the Ladder Network Architecture

Mohammad Pezeshki, Linxi Fan, Philemon Brakel, Aaron C. Courville, Yoshua Bengio

Deconstructing the Ladder Network Architecture

Details
Discussion Comments: 0
Verification: Authors have not verified information

Sparse Parameter Recovery from Aggregated Data

Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo

Sparse Parameter Recovery from Aggregated Data

Details
Discussion Comments: 0
Verification: Authors have not verified information

Estimating Maximum Expected Value through Gaussian Approximation

Carlo D'Eramo, Marcello Restelli, Alessandro Nuara

Estimating Maximum Expected Value through Gaussian Approximation

Details
Discussion Comments: 0
Verification: Authors have not verified information

Actively Learning Hemimetrics with Applications to Eliciting User Preferences

Adish Singla, Sebastian Tschiatschek, Andreas Krause

Actively Learning Hemimetrics with Applications to Eliciting User Preferences

Details
Discussion Comments: 0
Verification: Authors have not verified information

Controlling the distance to a Kemeny consensus without computing it

Yunlong Jiao, Anna Korba, Eric Sibony

Controlling the distance to a Kemeny consensus without computing it

Details
Discussion Comments: 0
Verification: Authors have not verified information

Bounded Off-Policy Evaluation with Missing Data for Course Recommendation and Curriculum Design

William Hoiles, Mihaela van der Schaar

Bounded Off-Policy Evaluation with Missing Data for Course Recommendation and Curriculum Design

Details
Discussion Comments: 0
Verification: Authors have not verified information

Solving Ridge Regression using Sketched Preconditioned SVRG

Alon Gonen, Francesco Orabona, Shai Shalev-Shwartz

Solving Ridge Regression using Sketched Preconditioned SVRG

Details
Discussion Comments: 0
Verification: Authors have not verified information

Fast Rate Analysis of Some Stochastic Optimization Algorithms

Chao Qu, Huan Xu, Chong Jin Ong

Fast Rate Analysis of Some Stochastic Optimization Algorithms

Details
Discussion Comments: 0
Verification: Authors have not verified information

Recommendations as Treatments: Debiasing Learning and Evaluation

Tobias Schnabel, Adith Swaminathan, Ashudeep Singh, Navin Chandak, Thorsten Joachims

Recommendations as Treatments: Debiasing Learning and Evaluation

Details
Discussion Comments: 0
Verification: Authors have not verified information

Stratified Sampling Meets Machine Learning

Edo Liberty, Kevin J. Lang, Konstantin Shmakov

Stratified Sampling Meets Machine Learning

Details
Discussion Comments: 0
Verification: Authors have not verified information

On collapsed representation of hierarchical Completely Random Measures

Gaurav Pandey, Ambedkar Dukkipati

On collapsed representation of hierarchical Completely Random Measures

Details
Discussion Comments: 0
Verification: Authors have not verified information

Scalable Discrete Sampling as a Multi-Armed Bandit Problem

Yutian Chen, Zoubin Ghahramani

Scalable Discrete Sampling as a Multi-Armed Bandit Problem

Details
Discussion Comments: 0
Verification: Authors have not verified information

Hawkes Processes with Stochastic Excitations

Young Lee, Kar Wai Lim, Cheng Soon Ong

Hawkes Processes with Stochastic Excitations

Details
Discussion Comments: 0
Verification: Authors have not verified information

A Subspace Learning Approach for High Dimensional Matrix Decomposition with Efficient Column/Row Sampling

Mostafa Rahmani, George K. Atia

A Subspace Learning Approach for High Dimensional Matrix Decomposition with Efficient Column/Row Sampling

Details
Discussion Comments: 0
Verification: Authors have not verified information

Tensor Decomposition via Joint Matrix Schur Decomposition

Nicolò Colombo, Nikos Vlassis

Tensor Decomposition via Joint Matrix Schur Decomposition

Details
Discussion Comments: 0
Verification: Authors have not verified information

An optimal algorithm for the Thresholding Bandit Problem

Andrea Locatelli, Maurilio Gutzeit, Alexandra Carpentier

An optimal algorithm for the Thresholding Bandit Problem

Details
Discussion Comments: 0
Verification: Authors have not verified information

Robust Random Cut Forest Based Anomaly Detection on Streams

Sudipto Guha, Nina Mishra, Gourav Roy, Okke Schrijvers

Robust Random Cut Forest Based Anomaly Detection on Streams

Details
Discussion Comments: 0
Verification: Authors have not verified information

Persistence weighted Gaussian kernel for topological data analysis

Genki Kusano, Yasuaki Hiraoka, Kenji Fukumizu

Persistence weighted Gaussian kernel for topological data analysis

Details
Discussion Comments: 0
Verification: Authors have not verified information

Meta-Gradient Boosted Decision Tree Model for Weight and Target Learning

Yury Ustinovskiy, Valentina Fedorova, Gleb Gusev, Pavel Serdyukov

Meta-Gradient Boosted Decision Tree Model for Weight and Target Learning

Details
Discussion Comments: 0
Verification: Authors have not verified information

Low-rank tensor completion: a Riemannian manifold preconditioning approach

Hiroyuki Kasai, Bamdev Mishra

Low-rank tensor completion: a Riemannian manifold preconditioning approach

Details
Discussion Comments: 0
Verification: Authors have not verified information

Uprooting and Rerooting Graphical Models

Adrian Weller

Uprooting and Rerooting Graphical Models

Details
Discussion Comments: 0
Verification: Author has not verified information

The Information-Theoretic Requirements of Subspace Clustering with Missing Data

Daniel L. Pimentel-Alarcón, Robert D. Nowak

The Information-Theoretic Requirements of Subspace Clustering with Missing Data

Details
Discussion Comments: 0
Verification: Authors have not verified information

Mixture Proportion Estimation via Kernel Embeddings of Distributions

Harish G. Ramaswamy, Clayton Scott, Ambuj Tewari

Mixture Proportion Estimation via Kernel Embeddings of Distributions

Details
Discussion Comments: 0
Verification: Authors have not verified information

Optimal Classification with Multivariate Losses

Nagarajan Natarajan, Oluwasanmi Koyejo, Pradeep Ravikumar, Inderjit S. Dhillon

Optimal Classification with Multivariate Losses

Details
Discussion Comments: 0
Verification: Authors have not verified information

Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin

Dario Amodei, Rishita Anubhai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse Engel, Linxi Fan, Christopher Fougner, Awni Y. Hannun, Billy Jun, Tony Han, Patrick LeGresley, Xiangang Li, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Sheng Qian, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Chong Wang, Yi Wang, Zhiqian Wang, Bo Xiao, Yan Xie, Dani Yogatama, Jun Zhan, Zhenyao Zhu

Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin

Details
Discussion Comments: 0
Verification: Authors have not verified information

Anytime Exploration for Multi-armed Bandits using Confidence Information

Kwang-Sung Jun, Robert D. Nowak

Anytime Exploration for Multi-armed Bandits using Confidence Information

Details
Discussion Comments: 0
Verification: Authors have not verified information

Learning Sparse Combinatorial Representations via Two-stage Submodular Maximization

Eric Balkanski, Baharan Mirzasoleiman, Andreas Krause, Yaron Singer

Learning Sparse Combinatorial Representations via Two-stage Submodular Maximization

Details
Discussion Comments: 0
Verification: Authors have not verified information

The knockoff filter for FDR control in group-sparse and multitask regression

Ran Dai, Rina Barber

The knockoff filter for FDR control in group-sparse and multitask regression

Details
Discussion Comments: 0
Verification: Authors have not verified information

PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification

Ian En-Hsu Yen, Xiangru Huang, Pradeep Ravikumar, Kai Zhong, Inderjit S. Dhillon

PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification

Details
Author Comments:
Discussion Comments: 0
Sharing: Research produced artifacts
Verification: Authors have verified information

Inference Networks for Sequential Monte Carlo in Graphical Models

Brooks Paige, Frank Wood

Inference Networks for Sequential Monte Carlo in Graphical Models

Details
Discussion Comments: 0
Verification: Authors have not verified information

L1-regularized Neural Networks are Improperly Learnable in Polynomial Time

Yuchen Zhang, Jason D. Lee, Michael I. Jordan

L1-regularized Neural Networks are Improperly Learnable in Polynomial Time

Details
Discussion Comments: 0
Verification: Authors have not verified information

Diversity-Promoting Bayesian Learning of Latent Variable Models

Pengtao Xie, Jun Zhu, Eric P. Xing

Diversity-Promoting Bayesian Learning of Latent Variable Models

Details
Discussion Comments: 0
Verification: Authors have not verified information

Recycling Randomness with Structure for Sublinear time Kernel Expansions

Krzysztof Choromanski, Vikas Sindhwani

Recycling Randomness with Structure for Sublinear time Kernel Expansions

Details
Discussion Comments: 0
Verification: Authors have not verified information

A Kernel Test of Goodness of Fit

Kacper Chwialkowski, Heiko Strathmann, Arthur Gretton

A Kernel Test of Goodness of Fit

Details
Discussion Comments: 0
Verification: Authors have not verified information

Pliable Rejection Sampling

Akram Erraqabi, Michal Valko, Alexandra Carpentier, Odalric-Ambrym Maillard

Pliable Rejection Sampling

Details
Author Comments:
Discussion Comments: 0
Sharing: Research produced no artifacts
Verification: Authors have verified information

Isotonic Hawkes Processes

Yichen Wang, Bo Xie, Nan Du, Le Song

Isotonic Hawkes Processes

Details
Discussion Comments: 0
Verification: Authors have not verified information