Jun Han

Email: jun.han.gr@dartmouth.edu

I am a third-year Ph.D. student in Computer Science at Dartmouth College. I am fortunate to be 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)
  • MSc in Applied Mathematics, Dept of Math, National University of Singapore (2013.08-2015.07)
  • BSc in Mathematics, Dept of Math, Beijing Normal Univeristy (2009.09-2013.06)
  • Experience


  • Research visit in Computer Sciences 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]