Ruohan Zhan

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 24

Top Topics

Confidence Intervals

Reinforcement Learning

Policy Evaluation

Recommender Systems

Top Venues

SIAM J. Imaging Sci.

Publications

Ruohan Zhan, Shichao Han, Yuchen Hu, Zhenling Jiang
Estimating Treatment Effects under Recommender Interference: A Structured Neural Networks Approach. CoRR (2024)
Zhiyi Li, Yunbei Xu, Ruohan Zhan
Statistical Properties of Robust Satisficing. CoRR (2024)
Jingyuan Wang, Perry Dong, Ying Jin, Ruohan Zhan, Zhengyuan Zhou
Adaptively Learning to Select-Rank in Online Platforms. CoRR (2024)
Wanqi Xue, Qingpeng Cai, Ruohan Zhan, Dong Zheng, Peng Jiang, Kun Gai, Bo An
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor. ICLR (2023)
Qingpeng Cai, Zhenghai Xue, Chi Zhang, Wanqi Xue, Shuchang Liu, Ruohan Zhan, Xueliang Wang, Tianyou Zuo, Wentao Xie, Dong Zheng, Peng Jiang, Kun Gai
Two-Stage Constrained Actor-Critic for Short Video Recommendation. CoRR (2023)
Qingpeng Cai, Zhenghai Xue, Chi Zhang, Wanqi Xue, Shuchang Liu, Ruohan Zhan, Xueliang Wang, Tianyou Zuo, Wentao Xie, Dong Zheng, Peng Jiang, Kun Gai
Two-Stage Constrained Actor-Critic for Short Video Recommendation. WWW (2023)
Vasilis Syrgkanis, Ruohan Zhan
Post-Episodic Reinforcement Learning Inference. CoRR (2023)
Sanath Kumar Krishnamurthy, Ruohan Zhan, Susan Athey, Emma Brunskill
Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization. CoRR (2023)
Chen Yang, Ziqiang Zhang, Bo Cao, Zheng Cui, Bin Hu, Tong Li, Daniel Zhuoyu Long, Jin Qi, Feng Wang, Ruohan Zhan
Fragility Index: A New Approach for Binary Classification. KDD (2023)
Sanath Kumar Krishnamurthy, Ruohan Zhan, Susan Athey, Emma Brunskill
Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization. NeurIPS (2023)
Qingpeng Cai, Ruohan Zhan, Chi Zhang, Jie Zheng, Guangwei Ding, Pinghua Gong, Dong Zheng, Peng Jiang
Constrained Reinforcement Learning for Short Video Recommendation. CoRR (2022)
Wanqi Xue, Qingpeng Cai, Ruohan Zhan, Dong Zheng, Peng Jiang, Bo An
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor. CoRR (2022)
Ruohan Zhan, Changhua Pei, Qiang Su, Jianfeng Wen, Xueliang Wang, Guanyu Mu, Dong Zheng, Peng Jiang, Kun Gai
Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation. KDD (2022)
Ruohan Zhan, Changhua Pei, Qiang Su, Jianfeng Wen, Xueliang Wang, Guanyu Mu, Dong Zheng, Peng Jiang
Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation. CoRR (2022)
Ruohan Zhan, Zhimei Ren, Susan Athey, Zhengyuan Zhou
Policy Learning with Adaptively Collected Data. CoRR (2021)
Ruohan Zhan, Konstantina Christakopoulou, Ya Le, Jayden Ooi, Martin Mladenov, Alex Beutel, Craig Boutilier, Ed H. Chi, Minmin Chen
Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities. CoRR (2021)
Ruohan Zhan, Vitor Hadad, David A. Hirshberg, Susan Athey
Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits. KDD (2021)
Ruohan Zhan, Konstantina Christakopoulou, Ya Le, Jayden Ooi, Martin Mladenov, Alex Beutel, Craig Boutilier, Ed Chi, Minmin Chen
Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities. WWW (2021)
Ruohan Zhan, Vitor Hadad, David A. Hirshberg, Susan Athey
Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits. CoRR (2021)
Xiyang Luo, Ruohan Zhan, Huiwen Chang, Feng Yang, Peyman Milanfar
Distortion Agnostic Deep Watermarking. CoRR (2020)
Xiyang Luo, Ruohan Zhan, Huiwen Chang, Feng Yang, Peyman Milanfar
Distortion Agnostic Deep Watermarking. CVPR (2020)
Vitor Hadad, David A. Hirshberg, Ruohan Zhan, Stefan Wager, Susan Athey
Confidence Intervals for Policy Evaluation in Adaptive Experiments. CoRR (2019)
Baichuan Yuan, Sathya R. Chitturi, Geoffrey Iyer, Nuoyu Li, Xiaochuan Xu, Ruohan Zhan, Rafael Llerena, Jesse T. Yen, Andrea L. Bertozzi
Machine learning for cardiac ultrasound time series data. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2017)
Ruohan Zhan, Bin Dong
CT Image Reconstruction by Spatial-Radon Domain Data-Driven Tight Frame Regularization. SIAM J. Imaging Sci. 9 (3) (2016)