Sinong Geng

About

I am currently a Ph.D. student in the Department of Computuer Science at Princeton University (advisor: Ronnie Sircar). My reserach interests include stochastic control, and high-dimensional statistics.

Before Princeton, I got my M.S. degree from the Department of Statistics at University of Wisconsin Madison (advisor: David Page). My previous reserach focused on the intersection of graphical models and healthcare.

I received my B.S. degree from the School of Mathematics at Nankai University.

Here is my LinkedIn.

Selected Publications

  • Sinong Geng, Mladen Kolar, and Sanmi Koyejo.
    Joint Nonparametric Precision Matrix Estimation with Confounding.
    The Conference on Uncertainty in Artificial Intelligence, 2019 (UAI 2019).

  • Sinong Geng *, Zhaobin Kuang*, Jie Liu, Stephen Wright, and David Page.
    Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error.
    Uncertainty in Artificial Intelligence, 2018 (UAI 2018).

Software