Sinong Geng

According to our database, Sinong Geng authored at least 11 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Improving Offline RL by Blending Heuristics.

Sinong Geng, Aldo Pacchiano, Andrey Kolobov, Ching-An Cheng

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Model-Regularized Machine Learning for Decision-Making

Sinong Geng

PhD thesis, 2023

Reinforcement learning paycheck optimization for multivariate financial goals.

Melda Alaluf, Giulia Crippa, Sinong Geng, Zijian Jing, Nikhil Krishnan, Sanjeev Kulkarni, Wyatt Navarro, Ronnie Sircar, Jonathan Tang

Risk Decis. Anal., 2023

A Data-Driven State Aggregation Approach for Dynamic Discrete Choice Models.

Sinong Geng, Houssam Nassif, Carlos A. Manzanares

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2020

Identifying Reward Functions using Anchor Actions.

Sinong Geng, Houssam Nassif, Carlos A. Manzanares, A. Max Reppen, Ronnie Sircar

CoRR, 2020

Deep PQR: Solving Inverse Reinforcement Learning using Anchor Actions.

Sinong Geng, Houssam Nassif, Carlos A. Manzanares, A. Max Reppen, Ronnie Sircar

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Joint Nonparametric Precision Matrix Estimation with Confounding.

Sinong Geng, Mladen Kolar, Oluwasanmi Koyejo

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Partially Linear Additive Gaussian Graphical Models.

Sinong Geng, Minhao Yan, Mladen Kolar, Sanmi Koyejo

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error.

Sinong Geng, Zhaobin Kuang, Jie Liu, Stephen J. Wright, David Page

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Temporal Poisson Square Root Graphical Models.

Sinong Geng, Zhaobin Kuang, Peggy L. Peissig, David Page

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

A Screening Rule for l1-Regularized Ising Model Estimation.

Zhaobin Kuang, Sinong Geng, David Page

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017