A Screening Rule for l1-Regularized Ising Model Estimation. - Zhaobin Kuang; Sinong Geng; David Page (NIPS, 2017)

Temporal Poisson Square Root Graphical Models. - Sinong Geng; Zhaobin Kuang; Peggy L. Peissig; David Page (ICML, 2018)

Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error. - Sinong Geng; Zhaobin Kuang; Jie Liu 006; Stephen J. Wright 001; David Page (UAI, 2018)

Partially Linear Additive Gaussian Graphical Models. - Sinong Geng; Minhao Yan; Mladen Kolar; Sanmi Koyejo (ICML, 2019)

Joint Nonparametric Precision Matrix Estimation with Confounding. - Sinong Geng; Mladen Kolar; Oluwasanmi Koyejo (UAI, 2019)

Deep PQR: Solving Inverse Reinforcement Learning using Anchor Actions. - Sinong Geng; Houssam Nassif; Carlos A. Manzanares; A. Max Reppen; Ronnie Sircar (ICML, 2020)

Identifying Reward Functions using Anchor Actions. - Sinong Geng; Houssam Nassif; Carlos A. Manzanares; A. Max Reppen; Ronnie Sircar (CoRR, 2020)

A Data-Driven State Aggregation Approach for Dynamic Discrete Choice Models. - Sinong Geng; Houssam Nassif; Carlos A. Manzanares (UAI, 2023)

Reinforcement learning paycheck optimization for multivariate financial goals. - Melda Alaluf; Giulia Crippa; Sinong Geng; Zijian Jing; Nikhil Krishnan; Sanjeev Kulkarni 001; Wyatt Navarro; Ronnie Sircar; Jonathan Tang (Risk Decis. Anal., 2023)

Model-Regularized Machine Learning for Decision-Making - Sinong Geng (2023)

Improving Offline RL by Blending Heuristics. - Sinong Geng; Aldo Pacchiano; Andrey Kolobov; Ching-An Cheng (ICLR, 2024)