International Conference on Machine Learning, ICML 2016


Article Details
Title: Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling
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Authors: Christopher De Sa
  • Stanford University, Department of Electrical Engineering
Christopher RĂ©
  • Stanford University, Department of Computer Science
Kunle Olukotun
  • Stanford University, Department of Electrical Engineering
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NSF Award Numbers: 1247701, 1111943, 1337375, 1353606
DBLP Key: conf/icml/SaRO16
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