Jun Han

Email: jun.han.gr@dartmouth.edu

I am a Ph.D. student in Computer Science at Dartmouth College, co-advised by Prof. Qiang Liu and Prof. Lorenzo Torresani . My interest lies in the intersections of machine learning, statistics and optimization. Specifically, I am currently interested in distributed learning, Monte Carlo sampling, Bayesian inference and deep reinforcement learning.

Education


  • Ph.D. in Computer Science at Dartmouth College (2015.09-Present)
  • M.Sc. in Applied Mathematics, Dept of Math, National University of Singapore (2013.08-2015.07)
  • B.Sc. in Mathematics, Dept of Math, Beijing Normal Univeristy (2009.09-2013.06)
  • Experience


  • Research visit in Computer Science at UT Austin (2018.01-2018.06)
  • Research intern at Disney Research with Dr. Stephan Mandt (2018.06-2018.09)
  • Publications


    Stein Variational Gradient Descent Without Gradient
    Jun Han and Qiang Liu. International Conference on Machine Learning (ICML), 2018. (Long Talk) (demo)
    Stein Variational Adaptive Importance Sampling
    Jun Han and Qiang Liu. Conference on Uncertainty in Artificial Intelligence (UAI), 2017. (Oral)
    Bootstrap Model Aggregation for Distributed Statistical Learning
    Jun Han and Qiang Liu. Advances in Neural Information Processing Systems (NIPS), 2016.

    Talks


  • Stein Variational Aaptive Importance Sampling, UAI, August, 2017@Sydney, Australia [slides]
  • Stein Variational Gradient Descent Without Gradient, 2018@UT Austin ML Group [slides]