NIPS Proceedingsβ

Lin Xiao

9 Papers

  • A Stochastic Composite Gradient Method with Incremental Variance Reduction (2019)
  • Understanding the Role of Momentum in Stochastic Gradient Methods (2019)
  • Using Statistics to Automate Stochastic Optimization (2019)
  • Coupled Variational Bayes via Optimization Embedding (2018)
  • Learning SMaLL Predictors (2018)
  • Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes (2017)
  • End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture (2015)
  • An Accelerated Proximal Coordinate Gradient Method (2014)
  • Dual Averaging Method for Regularized Stochastic Learning and Online Optimization (2009)