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ORCIDRuohan Zhan
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2020 – today
- 2024
[j2]Ruohan Zhan
, Zhimei Ren, Susan Athey, Zhengyuan Zhou:
Policy Learning with Adaptively Collected Data. Manag. Sci. 70(8): 5270-5297 (2024)- [c12]Zhiyi Li, Yunbei Xu, Ruohan Zhan:
Statistical Properties of Robust Satisficing. ICML 2024 - [c11]Jingyuan Wang, Perry Dong, Ying Jin, Ruohan Zhan, Zhengyuan Zhou:
Adaptively Learning to Select-Rank in Online Platforms. ICML 2024 - [c10]Ruohan Zhan, Shichao Han, Yuchen Hu, Zhenling Jiang:
Estimating Treatment Effects under Recommender Interference: A Structured Neural Networks Approach. EC 2024: 1204 - [i15]Zhiyi Li, Yunbei Xu, Ruohan Zhan:
Statistical Properties of Robust Satisficing. CoRR abs/2405.20451 (2024) - [i14]Jingyuan Wang, Perry Dong, Ying Jin, Ruohan Zhan, Zhengyuan Zhou:
Adaptively Learning to Select-Rank in Online Platforms. CoRR abs/2406.05017 (2024) - [i13]Ruohan Zhan, Shichao Han, Yuchen Hu, Zhenling Jiang:
Estimating Treatment Effects under Recommender Interference: A Structured Neural Networks Approach. CoRR abs/2406.14380 (2024) - [i12]Jingyuan Wang, Zhimei Ren, Ruohan Zhan, Zhengyuan Zhou:
Distributionally Robust Policy Learning under Concept Drifts. CoRR abs/2412.14297 (2024) - 2023
- [c9]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 - [c8]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: 2918-2929 - [c7]Sanath Kumar Krishnamurthy, Ruohan Zhan, Susan Athey, Emma Brunskill:
Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization. NeurIPS 2023 - [c6]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: 865-875 - [i11]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 abs/2302.01680 (2023) - [i10]Vasilis Syrgkanis, Ruohan Zhan:
Post-Episodic Reinforcement Learning Inference. CoRR abs/2302.08854 (2023) - [i9]Sanath Kumar Krishnamurthy, Ruohan Zhan, Susan Athey, Emma Brunskill:
Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization. CoRR abs/2307.02108 (2023) - 2022
- [c5]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: 4472-4481 - [i8]Qingpeng Cai, Ruohan Zhan, Chi Zhang, Jie Zheng, Guangwei Ding, Pinghua Gong, Dong Zheng, Peng Jiang:
Constrained Reinforcement Learning for Short Video Recommendation. CoRR abs/2205.13248 (2022) - [i7]Wanqi Xue, Qingpeng Cai, Ruohan Zhan, Dong Zheng, Peng Jiang, Bo An:
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor. CoRR abs/2206.02620 (2022) - [i6]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 abs/2206.06003 (2022) - 2021
- [c4]Ruohan Zhan, Vitor Hadad, David A. Hirshberg, Susan Athey:
Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits. KDD 2021: 2125-2135 - [c3]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. WWW 2021: 3872-3883 - [i5]Ruohan Zhan, Zhimei Ren, Susan Athey, Zhengyuan Zhou:
Policy Learning with Adaptively Collected Data. CoRR abs/2105.02344 (2021) - [i4]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 abs/2105.02377 (2021) - [i3]Ruohan Zhan, Vitor Hadad, David A. Hirshberg, Susan Athey:
Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits. CoRR abs/2106.02029 (2021) - 2020
- [c2]Xiyang Luo, Ruohan Zhan, Huiwen Chang, Feng Yang, Peyman Milanfar:
Distortion Agnostic Deep Watermarking. CVPR 2020: 13545-13554 - [i2]Xiyang Luo, Ruohan Zhan, Huiwen Chang, Feng Yang, Peyman Milanfar:
Distortion Agnostic Deep Watermarking. CoRR abs/2001.04580 (2020)
2010 – 2019
- 2019
- [i1]Vitor Hadad, David A. Hirshberg, Ruohan Zhan, Stefan Wager, Susan Athey:
Confidence Intervals for Policy Evaluation in Adaptive Experiments. CoRR abs/1911.02768 (2019) - 2017
- [c1]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. Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 101372D - 2016
- [j1]Ruohan Zhan, Bin Dong:
CT Image Reconstruction by Spatial-Radon Domain Data-Driven Tight Frame Regularization. SIAM J. Imaging Sci. 9(3): 1063-1083 (2016)
Coauthor Index
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