More from the Same Authors

• 2019 Poster: Using Statistics to Automate Stochastic Optimization »
  Hunter Lang · Lin Xiao · Pengchuan Zhang
• 2019 Poster: A Stochastic Composite Gradient Method with Incremental Variance Reduction »
  Junyu Zhang · Lin Xiao
• 2019 Poster: Understanding the Role of Momentum in Stochastic Gradient Methods »
  Igor Gitman · Hunter Lang · Pengchuan Zhang · Lin Xiao
• 2018 Poster: Learning SMaLL Predictors »
  Vikas Garg · Ofer Dekel · Lin Xiao
• 2018 Poster: Coupled Variational Bayes via Optimization Embedding »
  Bo Dai · Hanjun Dai · Niao He · Weiyang Liu · Zhen Liu · Jianshu Chen · Lin Xiao · Le Song
• 2017 Poster: Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes »
  Jianshu Chen · Chong Wang · Lin Xiao · Ji He · Lihong Li · Li Deng
• 2015 Poster: End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture »
  Jianshu Chen · Ji He · Yelong Shen · Lin Xiao · Xiaodong He · Jianfeng Gao · Xinying Song · Li Deng
• 2014 Poster: An Accelerated Proximal Coordinate Gradient Method »
  Qihang Lin · Zhaosong Lu · Lin Xiao
• 2012 Session: Oral Session 3 »
  Lin Xiao
• 2009 Poster: Dual Averaging Method for Regularized Stochastic Learning and Online Optimization »
  Lin Xiao