NIPS Proceedingsβ

Qiang Liu

9 Papers

  • Bootstrap Model Aggregation for Distributed Statistical Learning (2016)
  • Learning Infinite RBMs with Frank-Wolfe (2016)
  • Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm (2016)
  • Decomposition Bounds for Marginal MAP (2015)
  • Probabilistic Variational Bounds for Graphical Models (2015)
  • Distributed Estimation, Information Loss and Exponential Families (2014)
  • Scoring Workers in Crowdsourcing: How Many Control Questions are Enough? (2013)
  • Variational Planning for Graph-based MDPs (2013)
  • Variational Inference for Crowdsourcing (2012)