| Distortion agnostic deep watermarking X Luo, R Zhan, H Chang, F Yang, P Milanfar Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 151 | 2020 |
| Confidence intervals for policy evaluation in adaptive experiments V Hadad, DA Hirshberg, R Zhan, S Wager, S Athey Proceedings of the national academy of sciences 118 (15), e2014602118, 2021 | 143 | 2021 |
| Off-policy evaluation via adaptive weighting with data from contextual bandits R Zhan, V Hadad, DA Hirshberg, S Athey Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 43 | 2021 |
| Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation R Zhan, C Pei, Q Su, J Wen, X Wang, G Mu, D Zheng, P Jiang, K Gai Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 39 | 2022 |
| CT image reconstruction by spatial-radon domain data-driven tight frame regularization R Zhan, B Dong SIAM Journal on Imaging Sciences 9 (3), 1063-1083, 2016 | 35 | 2016 |
| Policy learning with adaptively collected data R Zhan, Z Ren, S Athey, Z Zhou Management Science, 2023 | 27 | 2023 |
| Two-Stage Constrained Actor-Critic for Short Video Recommendation Q Cai, Z Xue, C Zhang, W Xue, S Liu, R Zhan, X Wang, T Zuo, W Xie, ... Proceedings of the ACM Web Conference 2023, 865-875, 2023 | 24* | 2023 |
| Towards content provider aware recommender systems: A simulation study on the interplay between user and provider utilities R Zhan, K Christakopoulou, Y Le, J Ooi, M Mladenov, A Beutel, C Boutilier, ... Proceedings of the Web Conference 2021, 3872-3883, 2021 | 24* | 2021 |
| ResAct: Reinforcing long-term engagement in sequential recommendation with residual actor W Xue, Q Cai, R Zhan, D Zheng, P Jiang, K Gai, B An arXiv preprint arXiv:2206.02620, 2022 | 17 | 2022 |
| Machine learning for cardiac ultrasound time series data B Yuan, SR Chitturi, G Iyer, N Li, X Xu, R Zhan, R Llerena, JT Yen, ... Medical imaging 2017: Biomedical applications in molecular, structural, and …, 2017 | 13 | 2017 |
| Proportional response: Contextual bandits for simple and cumulative regret minimization SK Krishnamurthy, R Zhan, S Athey, E Brunskill Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Post-Episodic Reinforcement Learning Inference V Syrgkanis, R Zhan arXiv preprint arXiv:2302.08854, 2023 | 1 | 2023 |
| Fragility Index: A New Approach for Binary Classification C Yang, Z Zhang, B Cao, Z Cui, B Hu, T Li, DZ Long, J Qi, F Wang, R Zhan Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | | 2023 |
| Image watermarking R Zhan, F Yang, X Luo, P Milanfar, H Chang, C Liu US Patent App. 17/792,062, 2023 | | 2023 |
| Beyond Central Limit Theorem for Higher-Order Inference in Batched Bandits Y Park, R Zhan, N Yoshida NeurIPS 2022 Workshop on Causality for Real-world Impact, 2022 | | 2022 |
Susan AtheyThe Economics of Technology Professor, Stanford University Graduate School of BusinessVerified email at stanford.edu
