| 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.
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Optimal Reserve Prices in Upstream Auctions: Empirical Application on Online Video Advertising Miguel Angel Alcobendas Lisbona, Sheide Chammas, Kuang-chih Lee |
Optimal Reserve Prices in Upstream Auctions: Empirical Application on Online Video Advertising Details |
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Causal Clustering for 1-Factor Measurement Models Erich Kummerfeld, Joseph Ramsey |
Causal Clustering for 1-Factor Measurement Models Details |
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Scalable Partial Least Squares Regression on Grammar-Compressed Data Matrices Yasuo Tabei, Hiroto Saigo, Yoshihiro Yamanishi, Simon J. Puglisi |
Scalable Partial Least Squares Regression on Grammar-Compressed Data Matrices Details |
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Deploying Analytics with the Portable Format for Analytics (PFA) Jim Pivarski, Collin Bennett, Robert L. Grossman |
Deploying Analytics with the Portable Format for Analytics (PFA) Details |
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Topic Modeling of Short Texts: A Pseudo-Document View Yuan Zuo, Junjie Wu, Hui Zhang, Hao Lin, Fei Wang, Ke Xu, Hui Xiong |
Topic Modeling of Short Texts: A Pseudo-Document View Details |
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Dynamics of Large Multi-View Social Networks: Synergy, Cannibalization and Cross-View Interplay Yu Shi, Myunghwan Kim, Shaunak Chatterjee, Mitul Tiwari, Souvik Ghosh, Rómer Rosales |
Dynamics of Large Multi-View Social Networks: Synergy, Cannibalization and Cross-View Interplay Details |
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Bid-aware Gradient Descent for Unbiased Learning with Censored Data in Display Advertising Weinan Zhang, Tianxiong Zhou, Jun Wang, Jian Xu |
Bid-aware Gradient Descent for Unbiased Learning with Censored Data in Display Advertising Details |
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City-Scale Map Creation and Updating using GPS Collections Chen Chen, Cewu Lu, Qixing Huang, Qiang Yang, Dimitrios Gunopulos, Leonidas J. Guibas |
City-Scale Map Creation and Updating using GPS Collections Details |
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Streaming-LDA: A Copula-based Approach to Modeling Topic Dependencies in Document Streams Hesam Amoualian, Marianne Clausel, Éric Gaussier, Massih-Reza Amini |
Streaming-LDA: A Copula-based Approach to Modeling Topic Dependencies in Document Streams Details |
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Lifelong Machine Learning and Computer Reading the Web Zhiyuan Chen, Estevam R. Hruschka Jr., Bing Liu |
Lifelong Machine Learning and Computer Reading the Web Details |
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Kam1n0: MapReduce-based Assembly Clone Search for Reverse Engineering Steven H. H. Ding, Benjamin C. M. Fung, Philippe Charland |
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Understanding Behaviors that Lead to Purchasing: A Case Study of Pinterest Caroline Lo, Dan Frankowski, Jure Leskovec |
Understanding Behaviors that Lead to Purchasing: A Case Study of Pinterest Details |
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Scalable Data Analytics Using R: Single Machines to Hadoop Spark Clusters John-Mark Agosta, Debraj GuhaThakurta, Robert Horton, Mario Inchiosa, Srini Kumar, Mengyue Zhao |
Scalable Data Analytics Using R: Single Machines to Hadoop Spark Clusters Details |
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FUSE: Full Spectral Clustering Wei Ye, Sebastian Goebl, Claudia Plant, Christian Böhm |
FUSE: Full Spectral Clustering Details |
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CaSMoS: A Framework for Learning Candidate Selection Models over Structured Queries and Documents Fedor Borisyuk, Krishnaram Kenthapadi, David Stein, Bo Zhao |
CaSMoS: A Framework for Learning Candidate Selection Models over Structured Queries and Documents Details |
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Wei Chen, Tian Lin, Zihan Tan, Mingfei Zhao, Xuren Zhou |
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Data-driven Automatic Treatment Regimen Development and Recommendation Leilei Sun, Chuanren Liu, Chonghui Guo, Hui Xiong, Yanming Xie |
Data-driven Automatic Treatment Regimen Development and Recommendation Details |
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Minimizing Legal Exposure of High-Tech Companies through Collaborative Filtering Methods Bo Jin, Chao Che, Kuifei Yu, Yue Qu, Li Guo, Cuili Yao, Ruiyun Yu, Qiang Zhang |
Minimizing Legal Exposure of High-Tech Companies through Collaborative Filtering Methods Details |
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Mining Subgroups with Exceptional Transition Behavior Florian Lemmerich, Martin Becker, Philipp Singer, Denis Helic, Andreas Hotho, Markus Strohmaier |
Mining Subgroups with Exceptional Transition Behavior Details |
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Deep Visual-Semantic Hashing for Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu |
Deep Visual-Semantic Hashing for Cross-Modal Retrieval Details |
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Accelerating Online CP Decompositions for Higher Order Tensors Shuo Zhou, Xuan Vinh Nguyen, James Bailey, Yunzhe Jia, Ian Davidson |
Accelerating Online CP Decompositions for Higher Order Tensors Details |
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An Engagement-Based Customer Lifetime Value System for E-commerce Ali Vanderveld, Addhyan Pandey, Angela Han, Rajesh Parekh |
An Engagement-Based Customer Lifetime Value System for E-commerce Details |
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Identifying Earmarks in Congressional Bills Ellery Wulczyn, Madian Khabsa, Vrushank Vora, Matthew Heston, Joe Walsh, Christopher Berry, Rayid Ghani |
Identifying Earmarks in Congressional Bills Details |
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Point-of-Interest Recommendations: Learning Potential Check-ins from Friends Huayu Li, Yong Ge, Richang Hong, Hengshu Zhu |
Point-of-Interest Recommendations: Learning Potential Check-ins from Friends Details |
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Reconstructing an Epidemic Over Time Polina Rozenshtein, Aristides Gionis, B. Aditya Prakash, Jilles Vreeken |
Reconstructing an Epidemic Over Time Details |
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Predict Risk of Relapse for Patients with Multiple Stages of Treatment of Depression Zhi Nie, Pinghua Gong, Jieping Ye |
Predict Risk of Relapse for Patients with Multiple Stages of Treatment of Depression Details |
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Lightweight Monitoring of Distributed Streams Arnon Lazerson, Daniel Keren, Assaf Schuster |
Lightweight Monitoring of Distributed Streams Details |
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Efficient Shift-Invariant Dictionary Learning Guoqing Zheng, Yiming Yang, Jaime G. Carbonell |
Efficient Shift-Invariant Dictionary Learning Details |
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Lossless Separation of Web Pages into Layout Code and Data Adi Omari, Benny Kimelfeld, Eran Yahav, Sharon Shoham |
Lossless Separation of Web Pages into Layout Code and Data Details |
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Days on Market: Measuring Liquidity in Real Estate Markets Hengshu Zhu, Hui Xiong, Fangshuang Tang, Qi Liu, Yong Ge, Enhong Chen, Yanjie Fu |
Days on Market: Measuring Liquidity in Real Estate Markets Details |
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Xinran He, David Kempe |
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A Truth Discovery Approach with Theoretical Guarantee Houping Xiao, Jing Gao, Zhaoran Wang, Shiyu Wang, Lu Su, Han Liu |
A Truth Discovery Approach with Theoretical Guarantee Details |
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Semi-Markov Switching Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems Igor Melnyk, Arindam Banerjee, Bryan L. Matthews, Nikunj C. Oza |
Semi-Markov Switching Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems Details |
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Online Optimization Methods for the Quantification Problem Purushottam Kar, Shuai Li, Harikrishna Narasimhan, Sanjay Chawla, Fabrizio Sebastiani |
Online Optimization Methods for the Quantification Problem Details |
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Unified Point-of-Interest Recommendation with Temporal Interval Assessment Yanchi Liu, Chuanren Liu, Bin Liu, Meng Qu, Hui Xiong |
Unified Point-of-Interest Recommendation with Temporal Interval Assessment Details |
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Computational Social Science: Exciting Progress and Future Challenges Duncan Watts |
Computational Social Science: Exciting Progress and Future Challenges Details |
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Large-Scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks JungWoo Ha, Hyuna Pyo, Jeonghee Kim |
Large-Scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks Details |
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Can You Teach the Elephant to Dance? AKA: Culture Eats Data Science for Breakfast Jonathan D. Becher |
Can You Teach the Elephant to Dance? AKA: Culture Eats Data Science for Breakfast Details |
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Lexis: An Optimization Framework for Discovering the Hierarchical Structure of Sequential Data Payam Siyari, Bistra Dilkina, Constantine Dovrolis |
Lexis: An Optimization Framework for Discovering the Hierarchical Structure of Sequential Data Details |
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Text Mining in Clinical Domain: Dealing with Noise Hoang Nguyen, Jon Patrick |
Text Mining in Clinical Domain: Dealing with Noise Details |
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Structural Neighborhood Based Classification of Nodes in a Network Sharad Nandanwar, M. Narasimha Murty |
Structural Neighborhood Based Classification of Nodes in a Network Details |
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Positive-Unlabeled Learning in Streaming Networks Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang |
Positive-Unlabeled Learning in Streaming Networks Details |
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Business Applications of Predictive Modeling at Scale Qiang Zhu, Songtao Guo, Paul Ogilvie, Yan Liu |
Business Applications of Predictive Modeling at Scale Details |
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Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding Xiang Ren, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Jiawei Han |
Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding Details |
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Dynamic and Robust Wildfire Risk Prediction System: An Unsupervised Approach Mahsa Salehi, Laura Irina Rusu, Timothy M. Lynar, Anna Phan |
Dynamic and Robust Wildfire Risk Prediction System: An Unsupervised Approach Details |
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Algorithmic Bias: From Discrimination Discovery to Fairness-aware Data Mining Sara Hajian, Francesco Bonchi, Carlos Castillo |
Algorithmic Bias: From Discrimination Discovery to Fairness-aware Data Mining Details |
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A Real Linear and Parallel Multiple Longest Common Subsequences (MLCS) Algorithm Yanni Li, Hui Li, Tihua Duan, Sheng Wang, Zhi Wang, Yang Cheng |
A Real Linear and Parallel Multiple Longest Common Subsequences (MLCS) Algorithm Details |
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Efficient Processing of Network Proximity Queries via Chebyshev Acceleration Mustafa Coskun, Ananth Grama, Mehmet Koyutürk |
Efficient Processing of Network Proximity Queries via Chebyshev Acceleration Details |
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Robust and Effective Metric Learning Using Capped Trace Norm: Metric Learning via Capped Trace Norm Zhouyuan Huo, Feiping Nie, Heng Huang |
Robust and Effective Metric Learning Using Capped Trace Norm: Metric Learning via Capped Trace Norm Details |
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Subjectively Interesting Component Analysis: Data Projections that Contrast with Prior Expectations Bo Kang, Jefrey Lijffijt, Raúl Santos-Rodriguez, Tijl De Bie |
Subjectively Interesting Component Analysis: Data Projections that Contrast with Prior Expectations Details |
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Mengting Wan, Xiangyu Chen, Lance M. Kaplan, Jiawei Han, Jing Gao, Bo Zhao |
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Scalable Time-Decaying Adaptive Prediction Algorithm Yinyan Tan, Zhe Fan, Guilin Li, Fangshan Wang, Zhengbing Li, Shikai Liu, Qiuling Pan, Eric P. Xing, Qirong Ho |
Scalable Time-Decaying Adaptive Prediction Algorithm Details |
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People, Computers, and The Hot Mess of Real Data Joseph M. Hellerstein |
People, Computers, and The Hot Mess of Real Data Details |
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Catch Me If You Can: Detecting Pickpocket Suspects from Large-Scale Transit Records Bowen Du, Chuanren Liu, Wenjun Zhou, Zhenshan Hou, Hui Xiong |
Catch Me If You Can: Detecting Pickpocket Suspects from Large-Scale Transit Records Details |
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Robust Large-Scale Machine Learning in the Cloud Steffen Rendle, Dennis Fetterly, Eugene J. Shekita, Bor-Yiing Su |
Robust Large-Scale Machine Learning in the Cloud Details |
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FINAL: Fast Attributed Network Alignment Si Zhang, Hanghang Tong |
FINAL: Fast Attributed Network Alignment Details |
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From Prediction to Action: A Closed-Loop Approach for Data-Guided Network Resource Allocation Yanan Bao, Huasen Wu, Xin Liu |
From Prediction to Action: A Closed-Loop Approach for Data-Guided Network Resource Allocation Details |
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Sampling of Attributed Networks from Hierarchical Generative Models Pablo Robles-Granda, Sebastián Moreno, Jennifer Neville |
Sampling of Attributed Networks from Hierarchical Generative Models Details |
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A Multi-Task Learning Formulation for Survival Analysis Yan Li, Jie Wang, Jieping Ye, Chandan K. Reddy |
A Multi-Task Learning Formulation for Survival Analysis Details |
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Kai Ming Ting, Ye Zhu, Mark James Carman, Yue Zhu, Zhi-Hua Zhou |
Details |
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Predicting Socio-Economic Indicators using News Events Sunandan Chakraborty, Ashwin Venkataraman, Srikanth Jagabathula, Lakshminarayanan Subramanian |
Predicting Socio-Economic Indicators using News Events Details |
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Revisiting Random Binning Features: Fast Convergence and Strong Parallelizability Lingfei Wu, Ian En-Hsu Yen, Jie Chen, Rui Yan |
Revisiting Random Binning Features: Fast Convergence and Strong Parallelizability Details |
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Asymmetric Transitivity Preserving Graph Embedding Mingdong Ou, Peng Cui, Jian Pei, Ziwei Zhang, Wenwu Zhu |
Asymmetric Transitivity Preserving Graph Embedding Details |
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Profiling Users from Online Social Behaviors with Applications for Tencent Social Ads Ching Law |
Profiling Users from Online Social Behaviors with Applications for Tencent Social Ads Details |
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AnyDBC: An Efficient Anytime Density-based Clustering Algorithm for Very Large Complex Datasets Son T. Mai, Ira Assent, Martin Storgaard |
AnyDBC: An Efficient Anytime Density-based Clustering Algorithm for Very Large Complex Datasets Details |
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Analyzing Volleyball Match Data from the 2014 World Championships Using Machine Learning Techniques Jan Van Haaren, Horesh Ben Shitrit, Jesse Davis, Pascal Fua |
Analyzing Volleyball Match Data from the 2014 World Championships Using Machine Learning Techniques Details |
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Just One More: Modeling Binge Watching Behavior William Trouleau, Azin Ashkan, Weicong Ding, Brian Eriksson |
Just One More: Modeling Binge Watching Behavior Details |
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Meta Structure: Computing Relevance in Large Heterogeneous Information Networks Zhipeng Huang, Yudian Zheng, Reynold Cheng, Yizhou Sun, Nikos Mamoulis, Xiang Li |
Meta Structure: Computing Relevance in Large Heterogeneous Information Networks Details |
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Collaborative Multi-View Denoising Lei Zhang, Shupeng Wang, Xiaoyu Zhang, Yong Wang, Binbin Li, Dinggang Shen, Shuiwang Ji |
Collaborative Multi-View Denoising Details |
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Predictors without Borders: Behavioral Modeling of Product Adoption in Three Developing Countries Muhammad R. Khan, Joshua E. Blumenstock |
Predictors without Borders: Behavioral Modeling of Product Adoption in Three Developing Countries Details |
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Portfolio Selections in P2P Lending: A Multi-Objective Perspective Hongke Zhao, Qi Liu, Guifeng Wang, Yong Ge, Enhong Chen |
Portfolio Selections in P2P Lending: A Multi-Objective Perspective Details |
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Parallel Lasso Screening for Big Data Optimization Qingyang Li, Shuang Qiu, Shuiwang Ji, Paul M. Thompson, Jieping Ye, Jie Wang |
Parallel Lasso Screening for Big Data Optimization Details |
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Crime Rate Inference with Big Data Hongjian Wang, Daniel Kifer, Corina Graif, Zhenhui Li |
Crime Rate Inference with Big Data Details |
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Email Volume Optimization at LinkedIn Rupesh Gupta, Guanfeng Liang, Hsiao-Ping Tseng, Ravi Kiran Holur Vijay, Xiaoyu Chen, Rómer Rosales |
Email Volume Optimization at LinkedIn Details |
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A Non-parametric Approach to Detect Epileptogenic Lesions using Restricted Boltzmann Machines Yijun Zhao, Bilal Ahmed, Thomas Thesen, Karen E. Blackmon, Jennifer G. Dy, Carla E. Brodley, Ruben Kuzniecky, Orrin Devinsky |
A Non-parametric Approach to Detect Epileptogenic Lesions using Restricted Boltzmann Machines Details |
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CNTK: Microsoft's Open-Source Deep-Learning Toolkit Frank Seide, Amit Agarwal |
CNTK: Microsoft's Open-Source Deep-Learning Toolkit Details |
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Structured Doubly Stochastic Matrix for Graph Based Clustering: Structured Doubly Stochastic Matrix Xiaoqian Wang, Feiping Nie, Heng Huang |
Structured Doubly Stochastic Matrix for Graph Based Clustering: Structured Doubly Stochastic Matrix Details |
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Recurrent Marked Temporal Point Processes: Embedding Event History to Vector Nan Du, Hanjun Dai, Rakshit Trivedi, Utkarsh Upadhyay, Manuel Gomez-Rodriguez, Le Song |
Recurrent Marked Temporal Point Processes: Embedding Event History to Vector Details |
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Probabilistic Robust Route Recovery with Spatio-Temporal Dynamics Hao Wu, Jiangyun Mao, Weiwei Sun, Baihua Zheng, Hanyuan Zhang, Ziyang Chen, Wei Wang |
Probabilistic Robust Route Recovery with Spatio-Temporal Dynamics Details |
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Latent Space Model for Road Networks to Predict Time-Varying Traffic Dingxiong Deng, Cyrus Shahabi, Ugur Demiryurek, Linhong Zhu, Rose Yu, Yan Liu |
Latent Space Model for Road Networks to Predict Time-Varying Traffic Details |
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The Evolving Meaning of Information Security Whitfield Diffie |
The Evolving Meaning of Information Security Details |
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Convex Optimization for Linear Query Processing under Approximate Differential Privacy Ganzhao Yuan, Yin Yang, Zhenjie Zhang, Zhifeng Hao |
Convex Optimization for Linear Query Processing under Approximate Differential Privacy Details |
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Come-and-Go Patterns of Group Evolution: A Dynamic Model Tianyang Zhang, Peng Cui, Christos Faloutsos, Yunfei Lu, Hao Ye, Wenwu Zhu, Shiqiang Yang |
Come-and-Go Patterns of Group Evolution: A Dynamic Model Details |
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CompanyDepot: Employer Name Normalization in the Online Recruitment Industry Qiaoling Liu, Faizan Javed, Matt McNair |
CompanyDepot: Employer Name Normalization in the Online Recruitment Industry Details |
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Data-Driven Metric Development for Online Controlled Experiments: Seven Lessons Learned Alex Deng, Xiaolin Shi |
Data-Driven Metric Development for Online Controlled Experiments: Seven Lessons Learned Details |
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CatchTartan: Representing and Summarizing Dynamic Multicontextual Behaviors Meng Jiang, Christos Faloutsos, Jiawei Han |
CatchTartan: Representing and Summarizing Dynamic Multicontextual Behaviors Details |
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Robust Extreme Multi-label Learning Chang Xu, Dacheng Tao, Chao Xu |
Robust Extreme Multi-label Learning Details |
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When Social Influence Meets Item Inference Hui-Ju Hung, Hong-Han Shuai, De-Nian Yang, Liang-Hao Huang, Wang-Chien Lee, Jian Pei, Ming-Syan Chen |
When Social Influence Meets Item Inference Details |
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XGBoost: A Scalable Tree Boosting System Tianqi Chen, Carlos Guestrin |
XGBoost: A Scalable Tree Boosting System Details |
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Communication Efficient Distributed Kernel Principal Component Analysis Maria-Florina Balcan, Yingyu Liang, Le Song, David P. Woodruff, Bo Xie |
Communication Efficient Distributed Kernel Principal Component Analysis Details |
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Online Asymmetric Active Learning with Imbalanced Data Xiaoxuan Zhang, Tianbao Yang, Padmini Srinivasan |
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How Machine Learning has Finally Solved Wanamaker's Dilemma Oliver Downs |
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Designing Policy Recommendations to Reduce Home Abandonment in Mexico Klaus Ackermann, Eduardo Blancas Reyes, Sue He, Thomas Anderson Keller, Paul van der Boor, Romana Khan, Rayid Ghani, José Carlos González |
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Identifying Decision Makers from Professional Social Networks Shipeng Yu, Evangelia Christakopoulou, Abhishek Gupta |
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Compute Job Memory Recommender System Using Machine Learning Taraneh Taghavi, Maria Lupetini, Yaron Kretchmer |
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Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations Wei Cheng, Kai Zhang, Haifeng Chen, Guofei Jiang, Zhengzhang Chen, Wei Wang |
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ABRA: Approximating Betweenness Centrality in Static and Dynamic Graphs with Rademacher Averages Matteo Riondato, Eli Upfal |
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NetCycle: Collective Evolution Inference in Heterogeneous Information Networks Yizhou Zhang, Yun Xiong, Xiangnan Kong, Yangyong Zhu |
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Graph Wavelets via Sparse Cuts Arlei Silva, Xuan-Hong Dang, Prithwish Basu, Ambuj K. Singh, Ananthram Swami |
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Distributing the Stochastic Gradient Sampler for Large-Scale LDA Yuan Yang, Jianfei Chen, Jun Zhu |
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Online Context-Aware Recommendation with Time Varying Multi-Armed Bandit Chunqiu Zeng, Qing Wang, Shekoofeh Mokhtari, Tao Li |
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TRIÈST: Counting Local and Global Triangles in Fully-Dynamic Streams with Fixed Memory Size Lorenzo De Stefani, Alessandro Epasto, Matteo Riondato, Eli Upfal |
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Graphons and Machine Learning: Modeling and Estimation of Sparse Massive Networks Jennifer T. Chayes |
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Towards Optimal Cardinality Estimation of Unions and Intersections with Sketches Daniel Ting |
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Gemello: Creating a Detailed Energy Breakdown from Just the Monthly Electricity Bill Nipun Batra, Amarjeet Singh, Kamin Whitehouse |
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Inferring Network Effects from Observational Data David T. Arbour, Dan Garant, David D. Jensen |
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Infinite Ensemble for Image Clustering Hongfu Liu, Ming Shao, Sheng Li, Yun Fu |
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Efficient Frequent Directions Algorithm for Sparse Matrices Mina Ghashami, Edo Liberty, Jeff M. Phillips |
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Structural Deep Network Embedding Daixin Wang, Peng Cui, Wenwu Zhu |
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The Legislative Influence Detector: Finding Text Reuse in State Legislation Matthew Burgess, Eugenia Giraudy, Julian Katz-Samuels, Joe Walsh, Derek Willis, Lauren Haynes, Rayid Ghani |
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FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks Chen Chen, Hanghang Tong, Lei Xie, Lei Ying, Qing He |
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MANTRA: A Scalable Approach to Mining Temporally Anomalous Sub-trajectories Prithu Banerjee, Pranali Yawalkar, Sayan Ranu |
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Hasan Poonawala, Vinay Kolar, Sebastien Blandin, Laura Wynter, Sambit Sahu |
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Keeping it Short and Simple: Summarising Complex Event Sequences with Multivariate Patterns Roel Bertens, Jilles Vreeken, Arno Siebes |
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Batch Model for Batched Timestamps Data Analysis with Application to the SSA Disability Program Qingqi Yue, Ao Yuan, Xuan Che, Minh Huynh, Chunxiao Zhou |
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Towards Conversational Recommender Systems Konstantina Christakopoulou, Filip Radlinski, Katja Hofmann |
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Detecting Devastating Diseases in Search Logs John Paparrizos, Ryen W. White, Eric Horvitz |
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GLMix: Generalized Linear Mixed Models For Large-Scale Response Prediction XianXing Zhang, Yitong Zhou, Yiming Ma, Bee-Chung Chen, Liang Zhang, Deepak Agarwal |
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Haichuan Yang, Ryohei Fujimaki, Yukitaka Kusumura, Ji Liu |
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GMove: Group-Level Mobility Modeling Using Geo-Tagged Social Media Chao Zhang, Keyang Zhang, Quan Yuan, Luming Zhang, Tim Hanratty, Jiawei Han |
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Regime Shifts in Streams: Real-time Forecasting of Co-evolving Time Sequences Yasuko Matsubara, Yasushi Sakurai |
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Big Data Needs Big Dreamers: Lessons from Successful Big Data Investors Evangelos Simoudis, Mark Gorenberg, Tim Guleri, Matt Ocko, Greg Sands |
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EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System Sathappan Muthiah, Patrick Butler, Rupinder Paul Khandpur, Parang Saraf, Nathan Self, Alla Rozovskaya, Liang Zhao, Jose Cadena, Chang-Tien Lu, Anil Vullikanti, Achla Marathe, Kristen Maria Summers, Graham Katz, Andy Doyle, Jaime Arredondo, Dipak K. Gupta, David Mares, Naren Ramakrishnan |
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Beyond Sigmoids: The NetTide Model for Social Network Growth, and Its Applications Chengxi Zang, Peng Cui, Christos Faloutsos |
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PTE: Enumerating Trillion Triangles On Distributed Systems Ha-Myung Park, Sung-Hyon Myaeng, U Kang |
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Evaluating Mobile Apps with A/B and Quasi A/B Tests Ya Xu, Nanyu Chen |
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EMBERS AutoGSR: Automated Coding of Civil Unrest Events Parang Saraf, Naren Ramakrishnan |
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Large-Scale Machine Learning at Verizon: Theory and Applications Ashok Srivastava |
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Diversified Temporal Subgraph Pattern Mining Yi Yang, Da Yan, Huanhuan Wu, James Cheng, Shuigeng Zhou, John C. S. Lui |
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FLASH: Fast Bayesian Optimization for Data Analytic Pipelines Yuyu Zhang, Mohammad Taha Bahadori, Hang Su, Jimeng Sun |
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Ranking Universities Based on Career Outcomes of Graduates Navneet Kapur, Nikita I. Lytkin, Bee-Chung Chen, Deepak Agarwal, Igor Perisic |
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Recruitment Market Trend Analysis with Sequential Latent Variable Models Chen Zhu, Hengshu Zhu, Hui Xiong, Pengliang Ding, Fang Xie |
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How to Get Them a Dream Job?: Entity-Aware Features for Personalized Job Search Ranking Jia Li, Dhruv Arya, Viet Ha-Thuc, Shakti Sinha |
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Healthcare Data Mining with Matrix Models Fei Wang, Ping Zhang, Joel Dudley |
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Joint Community and Structural Hole Spanner Detection via Harmonic Modularity Lifang He, Chun-Ta Lu, Jiaqi Ma, Jianping Cao, Linlin Shen, Philip S. Yu |
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Improving Survey Aggregation with Sparsely Represented Signals Tianlin Shi, Forest Agostinelli, Matthew Staib, David P. Wipf, Thomas Moscibroda |
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Predicting Disk Replacement towards Reliable Data Centers Mirela Madalina Botezatu, Ioana Giurgiu, Jasmina Bogojeska, Dorothea Wiesmann |
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Domain Adaptation in the Absence of Source Domain Data Boris Chidlovskii, Stéphane Clinchant, Gabriela Csurka |
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Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta Michael A. Madaio, Shang-Tse Chen, Oliver L. Haimson, Wenwen Zhang, Xiang Cheng, Matthew Hinds-Aldrich, Duen Horng Chau, Bistra Dilkina |
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node2vec: Scalable Feature Learning for Networks Aditya Grover, Jure Leskovec |
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Scalable Betweenness Centrality Maximization via Sampling Ahmad Mahmoody, Charalampos E. Tsourakakis, Eli Upfal |
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Targeted Topic Modeling for Focused Analysis Shuai Wang, Zhiyuan Chen, Geli Fei, Bing Liu, Sherry Emery |
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DopeLearning: A Computational Approach to Rap Lyrics Generation Eric Malmi, Pyry Takala, Hannu Toivonen, Tapani Raiko, Aristides Gionis |
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Partial Label Learning via Feature-Aware Disambiguation Min-Ling Zhang, Bin-Bin Zhou, Xu-Ying Liu |
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Approximate Personalized PageRank on Dynamic Graphs Hongyang Zhang, Peter Lofgren, Ashish Goel |
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Scalable Pattern Matching over Compressed Graphs via Dedensification Antonio Maccioni, Daniel J. Abadi |
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Rebalancing Bike Sharing Systems: A Multi-source Data Smart Optimization Junming Liu, Leilei Sun, Weiwei Chen, Hui Xiong |
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Accelerated Stochastic Block Coordinate Descent with Optimal Sampling Aston Zhang, Quanquan Gu |
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Bayesian Optimization and Embedded Learning Systems Jeff Schneider |
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Nando de Freitas |
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Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs Emaad A. Manzoor, Sadegh M. Milajerdi, Leman Akoglu |
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Smart Reply: Automated Response Suggestion for Email Anjuli Kannan, Karol Kurach, Sujith Ravi, Tobias Kaufmann, Andrew Tomkins, Balint Miklos, Greg Corrado, László Lukács, Marina Ganea, Peter Young, Vivek Ramavajjala |
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Accelerating the Race to Autonomous Cars Danny Shapiro |
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Absolute Fused Lasso and Its Application to Genome-Wide Association Studies Tao Yang, Jun Liu, Pinghua Gong, Ruiwen Zhang, Xiaotong Shen, Jieping Ye |
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The Limits of Popularity-Based Recommendations, and the Role of Social Ties Marco Bressan, Stefano Leucci, Alessandro Panconesi, Prabhakar Raghavan, Erisa Terolli |
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Developing a Data-Driven Player Ranking in Soccer Using Predictive Model Weights Joel Brooks, Matthew Kerr, John V. Guttag |
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How to Compete Online for News Audience: Modeling Words that Attract Clicks Joon Hee Kim, Amin Mantrach, Alejandro Jaimes, Alice H. Oh |
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Lei Han, Yu Zhang, Xiu-Feng Wan, Tong Zhang |
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Joint Optimization of Multiple Performance Metrics in Online Video Advertising Sahin Cem Geyik, Sergey Faleev, Jianqiang Shen, Sean O'Donnell, Santanu Kolay |
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Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning Yue Ning, Sathappan Muthiah, Huzefa Rangwala, Naren Ramakrishnan |
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Computational Drug Repositioning Using Continuous Self-Controlled Case Series Zhaobin Kuang, James A. Thomson, Michael Caldwell, Peggy L. Peissig, Ron M. Stewart, David Page |
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Repeat Buyer Prediction for E-Commerce Guimei Liu, Tam T. Nguyen, Gang Zhao, Wei Zha, Jianbo Yang, Jianneng Cao, Min Wu, Peilin Zhao, Wei Chen |
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Corey Lynch, Kamelia Aryafar, Josh Attenberg |
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Convolutional Neural Networks for Steady Flow Approximation Xiaoxiao Guo, Wei Li, Francesco Iorio |
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A Text Clustering Algorithm Using an Online Clustering Scheme for Initialization Jianhua Yin, Jianyong Wang |
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Goal-Directed Inductive Matrix Completion Si Si, Kai-Yang Chiang, Cho-Jui Hsieh, Nikhil Rao, Inderjit S. Dhillon |
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Annealed Sparsity via Adaptive and Dynamic Shrinking Kai Zhang, Shandian Zhe, Chaoran Cheng, Zhi Wei, Zhengzhang Chen, Haifeng Chen, Guofei Jiang, Yuan Qi, Jieping Ye |
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Gianmarco De Francisci Morales, Albert Bifet, Latifur Khan, João Gama, Wei Fan |
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FRAUDAR: Bounding Graph Fraud in the Face of Camouflage Bryan Hooi, Hyun Ah Song, Alex Beutel, Neil Shah, Kijung Shin, Christos Faloutsos |
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Question Independent Grading using Machine Learning: The Case of Computer Program Grading Gursimran Singh, Shashank Srikant, Varun Aggarwal |
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Fast Component Pursuit for Large-Scale Inverse Covariance Estimation Lei Han, Yu Zhang, Tong Zhang |
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QUINT: On Query-Specific Optimal Networks Liangyue Li, Yuan Yao, Jie Tang, Wei Fan, Hanghang Tong |
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Predicting Matchups and Preferences in Context Shuo Chen, Thorsten Joachims |
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Anomaly Detection Using Program Control Flow Graph Mining From Execution Logs Animesh Nandi, Atri Mandal, Shubham Atreja, Gargi Banerjee Dasgupta, Subhrajit Bhattacharya |
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Burstiness Scale: A Parsimonious Model for Characterizing Random Series of Events Rodrigo Augusto da Silva Alves, Renato Martins Assunção, Pedro Olmo Stancioli Vaz de Melo |
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Dynamic Clustering of Streaming Short Documents Shangsong Liang, Emine Yilmaz, Evangelos Kanoulas |
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A Multiple Test Correction for Streams and Cascades of Statistical Hypothesis Tests Geoffrey I. Webb, François Petitjean |
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A follow-up paper can be found at https://arxiv.org/abs/1702.04025.
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Boosted Decision Tree Regression Adjustment for Variance Reduction in Online Controlled Experiments Alexey Poyarkov, Alexey Drutsa, Andrey Khalyavin, Gleb Gusev, Pavel Serdyukov |
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Mining Reliable Information from Passively and Actively Crowdsourced Data Jing Gao, Qi Li, Bo Zhao, Wei Fan, Jiawei Han |
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Talent Circle Detection in Job Transition Networks Huang Xu, Zhiwen Yu, Jingyuan Yang, Hui Xiong, Hengshu Zhu |
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Igor Labutov, Frans Schalekamp, Kelvin Luu, Hod Lipson, Christoph Studer |
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Unbounded Human Learning: Optimal Scheduling for Spaced Repetition Siddharth Reddy, Igor Labutov, Siddhartha Banerjee, Thorsten Joachims |
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Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting Liang Zhao, Jieping Ye, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan |
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Learning Sparse Models at Scale Ralf Herbrich |
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User Identity Linkage by Latent User Space Modelling Xin Mu, Feida Zhu, Ee-Peng Lim, Jing Xiao, Jianzong Wang, Zhi-Hua Zhou |
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"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin |
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Audience Expansion for Online Social Network Advertising Haishan Liu, David Pardoe, Kun Liu, Manoj Thakur, Frank Cao, Chongzhe Li |
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Transfer Knowledge between Cities Ying Wei, Yu Zheng, Qiang Yang |
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MAP: Frequency-Based Maximization of Airline Profits based on an Ensemble Forecasting Approach Bo An, Haipeng Chen, Noseong Park, V. S. Subrahmanian |
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Compact and Scalable Graph Neighborhood Sketching Takuya Akiba, Yosuke Yano |
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Yuheng Hu, Yu-Ru Lin, Jiebo Luo |
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Contextual Intent Tracking for Personal Assistants Yu Sun, Nicholas Jing Yuan, Yingzi Wang, Xing Xie, Kieran McDonald, Rui Zhang |
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Identifying Police Officers at Risk of Adverse Events Samuel Carton, Jennifer Helsby, Kenneth Joseph, Ayesha Mahmud, Youngsoo Park, Joe Walsh, Crystal Cody, C. P. T. Estella Patterson, Lauren Haynes, Rayid Ghani |
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Aircraft Trajectory Prediction Made Easy with Predictive Analytics Samet Ayhan, Hanan Samet |
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Ingo Mierswa |
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Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features Ying Shan, T. Ryan Hoens, Jian Jiao, Haijing Wang, Dong Yu, J. C. Mao |
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Finding Gangs in War from Signed Networks Lingyang Chu, Zhefeng Wang, Jian Pei, Jiannan Wang, Zijin Zhao, Enhong Chen |
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Ranking Relevance in Yahoo Search Dawei Yin, Yuening Hu, Jiliang Tang, Tim Daly Jr., Mianwei Zhou, Hua Ouyang, Jianhui Chen, Changsung Kang, Hongbo Deng, Chikashi Nobata, Jean-Marc Langlois, Yi Chang |
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Towards Robust and Versatile Causal Discovery for Business Applications Giorgos Borboudakis, Ioannis Tsamardinos |
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Improving the Sensitivity of Online Controlled Experiments: Case Studies at Netflix Huizhi Xie, Juliette Aurisset |
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Squish: Near-Optimal Compression for Archival of Relational Datasets Yihan Gao, Aditya G. Parameswaran |
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Compressing Convolutional Neural Networks in the Frequency Domain Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen |
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Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis Xiang Li, Milad Makkie, Binbin Lin, Mojtaba Sedigh Fazli, Ian Davidson, Jieping Ye, Tianming Liu, Shannon Quinn |
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Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective Tong Xu, Hengshu Zhu, Xiangyu Zhao, Qi Liu, Hao Zhong, Enhong Chen, Hui Xiong |
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Wei-Lin Chiang, Mu-Chu Lee, Chih-Jen Lin |
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Benjamin Letham, Lydia M. Letham, Cynthia Rudin |
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The Million Domain Challenge: Broadcast Email Prioritization by Cross-domain Recommendation Beidou Wang, Martin Ester, Yikang Liao, Jiajun Bu, Yu Zhu, Ziyu Guan, Deng Cai |
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A Subsequence Interleaving Model for Sequential Pattern Mining Jaroslav M. Fowkes, Charles A. Sutton |
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Greg Papadopoulos |
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Hao Hu, Joey Velez-Ginorio, Guo-Jun Qi |
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Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng, Aidong Zhang |
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DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks Shuangfei Zhai, Keng-hao Chang, Ruofei Zhang, Zhongfei (Mark) Zhang |
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Privacy-preserving Class Ratio Estimation Arun Shankar Iyer, J. Saketha Nath, Sunita Sarawagi |
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Extracting Optimal Performance from Dynamic Time Warping Abdullah Mueen, Eamonn J. Keogh |
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When Recommendation Goes Wrong: Anomalous Link Discovery in Recommendation Networks Bryan Perozzi, Michael Schueppert, Jack Saalweachter, Mayur Thakur |
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Safe Pattern Pruning: An Efficient Approach for Predictive Pattern Mining Kazuya Nakagawa, Shinya Suzumura, Masayuki Karasuyama, Koji Tsuda, Ichiro Takeuchi |
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Scalable Learning of Graphical Models François Petitjean, Geoffrey I. Webb |
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Compressing Graphs and Indexes with Recursive Graph Bisection Laxman Dhulipala, Igor Kabiljo, Brian Karrer, Giuseppe Ottaviano, Sergey Pupyrev, Alon Shalita |
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An Empirical Study on Recommendation with Multiple Types of Feedback Liang Tang, Bo Long, Bee-Chung Chen, Deepak Agarwal |
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Fast Unsupervised Online Drift Detection Using Incremental Kolmogorov-Smirnov Test Denis Moreira dos Reis, Peter A. Flach, Stan Matwin, Gustavo E. A. P. A. Batista |
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Alexander G. Nikolaev, Shounak Gore, Venu Govindaraju |
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From Online Behaviors to Offline Retailing Ping Luo, Su Yan, Zhiqiang Liu, Zhiyong Shen, Shengwen Yang, Qing He |
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Multi-Task Feature Interaction Learning Kaixiang Lin, Jianpeng Xu, Inci M. Baytas, Shuiwang Ji, Jiayu Zhou |
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Continuous Experience-aware Language Model Subhabrata Mukherjee, Stephan Günnemann, Gerhard Weikum |
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Leveraging Propagation for Data Mining: Models, Algorithms and Applications B. Aditya Prakash, Naren Ramakrishnan |
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Collaborative Knowledge Base Embedding for Recommender Systems Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie, Wei-Ying Ma |
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Assessing Human Error Against a Benchmark of Perfection Ashton Anderson, Jon M. Kleinberg, Sendhil Mullainathan |
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Ashish Gupta, Neera Agarwal |
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Smart Broadcasting: Do You Want to be Seen? Mohammad Reza Karimi, Erfan Tavakoli, Mehrdad Farajtabar, Le Song, Manuel Gomez-Rodriguez |
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Matrix Computations and Optimization in Apache Spark Reza Bosagh Zadeh, Xiangrui Meng, Alexander Ulanov, Burak Yavuz, Li Pu, Shivaram Venkataraman, Evan R. Sparks, Aaron Staple, Matei Zaharia |
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Multi-layer Representation Learning for Medical Concepts Edward Choi, Mohammad Taha Bahadori, Elizabeth Searles, Catherine Coffey, Michael Thompson, James Bost, Javier Tejedor-Sojo, Jimeng Sun |
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Himanshu Jain, Yashoteja Prabhu, Manik Varma |
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Learning Cumulatively to Become More Knowledgeable Geli Fei, Shuai Wang, Bing Liu |
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Skinny-dip: Clustering in a Sea of Noise Samuel Maurus, Claudia Plant |
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