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-Present)
  • Publications


    Bootstrap Model Aggregation for Distributed Statistical Learning
    Jun Han and Qiang Liu. Advances in Neural Information Processing Systems (NIPS), 2016.
    Stein Variational Adaptive Importance Sampling
    Jun Han and Qiang Liu. Conference on Uncertainty in Artificial Intelligence (UAI), 2017. (Oral)

    Presentations


  • Stein Variational Aaptive Importance Sampling, UAI, August, 2017@Sydney, Australia [slides]