Sinong Geng

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 17

Top Topics

Gaussian Graphical Models

Reinforcement Learning

Top Venues

Publications

Sinong Geng, Aldo Pacchiano, Andrey Kolobov, Ching-An Cheng
Improving Offline RL by Blending Heuristics. ICLR (2024)
Melda Alaluf, Giulia Crippa, Sinong Geng, Zijian Jing, Nikhil Krishnan, Sanjeev Kulkarni, Wyatt Navarro, Ronnie Sircar, Jonathan Tang
Reinforcement Learning Paycheck Optimization for Multivariate Financial Goals. CoRR (2024)
Sinong Geng, Aldo Pacchiano, Andrey Kolobov, Ching-An Cheng
Improving Offline RL by Blending Heuristics. CoRR (2023)
Sinong Geng, Houssam Nassif, Carlos A. Manzanares
A Data-Driven State Aggregation Approach for Dynamic Discrete Choice Models. UAI (2023)
Sinong Geng, Houssam Nassif, Carlos A. Manzanares
A Data-Driven State Aggregation Approach for Dynamic Discrete Choice Models. CoRR (2023)
Melda Alaluf, Giulia Crippa, Sinong Geng, Zijian Jing, Nikhil Krishnan, Sanjeev Kulkarni, Wyatt Navarro, Ronnie Sircar, Jonathan Tang
Reinforcement learning paycheck optimization for multivariate financial goals. Risk Decis. Anal. 9 (1) (2023)
Sinong Geng, Houssam Nassif, Carlos A. Manzanares, A. Max Reppen, Ronnie Sircar
Deep PQR: Solving Inverse Reinforcement Learning using Anchor Actions. ICML (2020)
Sinong Geng, Zhaobin Kuang, Jie Liu, Stephen J. Wright, David Page
Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error. CoRR (2020)
Sinong Geng, Houssam Nassif, Carlos A. Manzanares, A. Max Reppen, Ronnie Sircar
Identifying Reward Functions using Anchor Actions. CoRR (2020)
Sinong Geng, Zhaobin Kuang, Peggy L. Peissig, David Page
Temporal Poisson Square Root Graphical Models. CoRR (2020)
Sinong Geng, Minhao Yan, Mladen Kolar, Oluwasanmi Koyejo
Partially Linear Additive Gaussian Graphical Models. CoRR (2019)
Sinong Geng, Mladen Kolar, Oluwasanmi Koyejo
Joint Nonparametric Precision Matrix Estimation with Confounding. UAI (2019)
Sinong Geng, Minhao Yan, Mladen Kolar, Sanmi Koyejo
Partially Linear Additive Gaussian Graphical Models. ICML (2019)
Sinong Geng, Mladen Kolar, Oluwasanmi Koyejo
Joint Nonparametric Precision Matrix Estimation with Confounding. CoRR (2018)
Sinong Geng, Zhaobin Kuang, Peggy L. Peissig, David Page
Temporal Poisson Square Root Graphical Models. ICML (2018)
Sinong Geng, Zhaobin Kuang, Jie Liu, Stephen J. Wright, David Page
Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error. UAI (2018)
Zhaobin Kuang, Sinong Geng, David Page
A Screening Rule for l1-Regularized Ising Model Estimation. NIPS (2017)