Statistical Inference for Pairwise Graphical Models Using Score Matching. - Ming Yu 005; Mladen Kolar; Varun Gupta (NIPS, 2016)

An Influence-Receptivity Model for Topic Based Information Cascades. - Ming Yu 005; Varun Gupta; Mladen Kolar (ICDM, 2017)

Provable Gaussian Embedding with One Observation. - Ming Yu 005; Zhuoran Yang; Tuo Zhao; Mladen Kolar; Zhaoran Wang 001 (NeurIPS, 2018)

Learning Influence-Receptivity Network Structure with Guarantee. - Ming Yu 005; Varun Gupta; Mladen Kolar (AISTATS, 2019)

Convergent Policy Optimization for Safe Reinforcement Learning. - Ming Yu 005; Zhuoran Yang; Mladen Kolar; Zhaoran Wang 001 (NeurIPS, 2019)

Simultaneous Parameter Learning and Bi-clustering for Multi-Response Models. - Ming Yu 005; Karthikeyan Natesan Ramamurthy; Addie M. Thompson; Aurélie C. Lozano (Frontiers Big Data, 2019)

Estimation of a Low-rank Topic-Based Model for Information Cascades. - Ming Yu 005; Varun Gupta; Mladen Kolar (J. Mach. Learn. Res., 2020)

Simultaneous Inference for Pairwise Graphical Models with Generalized Score Matching. - Ming Yu 005; Varun Gupta; Mladen Kolar (J. Mach. Learn. Res., 2020)