Rui Song

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 31

Top Topics

Reinforcement Learning

Online Marketplaces

Hierarchical Models

Top Venues

Publications

Hengrui Cai, Shengjie Liu, Rui Song
Is Knowledge All Large Language Models Needed for Causal Reasoning? CoRR (2024)
Jingping Liu, Lihan Chen, Sihang Jiang, Chao Wang, Sheng Zhang, Jiaqing Liang, Yanghua Xiao, Rui Song
A crossword solving system based on Monte Carlo tree search. Artif. Intell. 335 (2024)
Yu Liu, Runzhe Wan, James McQueen, Doug Hains, Jinxiang Gu, Rui Song
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches. AAAI (2024)
Runzhe Wan, Lin Ge, Rui Song
Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework. AISTATS (2023)
Richard A. Watson, Hengrui Cai, Xinming An, Samuel A. McLean, Rui Song
On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs. ICML (2023)
Yuhe Gao, Chengchun Shi, Rui Song
Deep Spectral Q-learning with Application to Mobile Health. CoRR (2023)
Haitao Jiang, Lin Ge, Yuhe Gao, Jianian Wang, Rui Song
Large Language Model for Causal Decision Making. CoRR (2023)
Runzhe Wan, Haoyu Wei, Branislav Kveton, Rui Song
Multiplier Bootstrap-based Exploration. ICML (2023)
Runzhe Wan, Yu Liu, James McQueen, Doug Hains, Rui Song
Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring. KDD (2023)
Lin Ge, Jitao Wang, Chengchun Shi, Zhenke Wu, Rui Song
A Reinforcement Learning Framework for Dynamic Mediation Analysis. CoRR (2023)
Lin Ge, Jitao Wang, Chengchun Shi, Zhenke Wu, Rui Song
A Reinforcement Learning Framework for Dynamic Mediation Analysis. ICML (2023)
Runzhe Wan, Yu Liu, James McQueen, Doug Hains, Rui Song
Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring. CoRR (2023)
Runzhe Wan, Haoyu Wei, Branislav Kveton, Rui Song
Multiplier Bootstrap-based Exploration. CoRR (2023)
Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu
Jump Interval-Learning for Individualized Decision Making with Continuous Treatments. J. Mach. Learn. Res. 24 (2023)
Yu Liu, Runzhe Wan, James McQueen, Doug Hains, Jinxiang Gu, Rui Song
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches. CoRR (2023)
Hengrui Cai, Yixin Wang, Michael I. Jordan, Rui Song
On Learning Necessary and Sufficient Causal Graphs. NeurIPS (2023)
Hengrui Cai, Yixin Wang, Michael I. Jordan, Rui Song
On Learning Necessary and Sufficient Causal Graphs. CoRR (2023)
Zhiwei (Tony) Qin, Rui Song, Jieping Ye, Hongtu Zhu, Michael I. Jordan
KDD-2023 Workshop on Decision Intelligence and Analytics for Online Marketplaces. KDD (2023)
Haoyu Wei, Runzhe Wan, Lei Shi, Rui Song
Zero-Inflated Bandits. CoRR (2023)
Lihan Chen, Sihang Jiang, Jingping Liu, Chao Wang, Sheng Zhang, Chenhao Xie, Jiaqing Liang, Yanghua Xiao, Rui Song
Rule mining over knowledge graphs via reinforcement learning. Knowl. Based Syst. 242 (2022)
Lihan Chen, Jingping Liu, Sihang Jiang, Chao Wang, Jiaqing Liang, Yanghua Xiao, Sheng Zhang, Rui Song
Crossword Puzzle Resolution via Monte Carlo Tree Search. ICAPS (2022)
Wenbo Pu, Jing Hu, Xin Wang, Yuezun Li, Shu Hu, Bin Zhu, Rui Song, Qi Song, Xi Wu, Siwei Lyu
Learning a deep dual-level network for robust DeepFake detection. Pattern Recognit. 130 (2022)
Yang Xu, Jin Zhu, Chengchun Shi, Shikai Luo, Rui Song
An Instrumental Variable Approach to Confounded Off-Policy Evaluation. CoRR (2022)
Runzhe Wan, Yingying Li, Wenbin Lu, Rui Song
Mining the Factor Zoo: Estimation of Latent Factor Models with Sufficient Proxies. CoRR (2022)
Yang Xu, Chengchun Shi, Shikai Luo, Lan Wang, Rui Song
Quantile Off-Policy Evaluation via Deep Conditional Generative Learning. CoRR (2022)
Zhiwei (Tony) Qin, Liangjie Hong, Rui Song, Hongtu Zhu, Mohammed Korayem, Haiyan Luo, Michael I. Jordan
Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail and Beyond. KDD (2022)
Runzhe Wan, Branislav Kveton, Rui Song
Safe Exploration for Efficient Policy Evaluation and Comparison. ICML (2022)
Ye Liu, Rui Song, Wenbin Lu, Yanghua Xiao
A Probit Tensor Factorization Model For Relational Learning. J. Comput. Graph. Stat. 31 (3) (2022)
Zhiwei (Tony) Qin, Liangjie Hong, Rui Song, Hongtu Zhu, Mohammed Korayem, Haiyan Luo, Michael I. Jordan
KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond. SIGKDD Explor. 24 (2) (2022)
Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu
Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings. NeurIPS (2021)
Runzhe Wan, Lin Ge, Rui Song
Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models. NeurIPS (2021)