Qiang Liu

Assistant Professor

Research

Research Interests: 
  • Probabilistic graphical models
  • Variational and Monte Carlo inference
  • Deep and distributed  learning
  • Deep reinforcement learning
  • Big data problems
  • Kernel and nonparametric methods
  • Applications
    • crowdsourcing, vision, bioinformatics, etc.

Select Publications

Dilin Wang, Hao Liu, Qiang Liu. 2018. Variational Inference with Tail Adaptive f Divergence . NIPS.
Qiang Liu, Dilin Wang. 2018. Stein Variational Gradient Descent as Moment Matching . NIPS.
Qiang Liu, Lihong Li, Ziyang Tang, Dengyong Zhou. 2018. Breaking the Curse of Horizon: Infinite-Horizon Off-policy Estimation . NIPS.
Jun Han, Qiang Liu. 2018. Stein Variational Gradient Descent Without Gradient . Cornell University.
Tianbing Xu, Liang Zhao, Qiang Liu, Jian Peng. 2018. Learning to Explore via Meta-Policy Gradient . ICML.