| 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 | 211 | 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 | 192 | 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 | 69 | 2022 |
| 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 | 65 | 2021 |
| 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 | 48* | 2023 |
| Policy Learning with Adaptively Collected Data R Zhan, Z Ren, S Athey, Z Zhou Management Science 70 (8), 5270-5297, 2024 | 41 | 2024 |
| 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 | 37 | 2016 |
| 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 | 29 | 2022 |
| 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 | 28* | 2021 |
| 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 | 16 | 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, 30255-30266, 2023 | 12 | 2023 |
| Post Reinforcement Learning Inference V Syrgkanis, R Zhan arXiv preprint arXiv:2302.08854, 2023 | 5* | 2023 |
| Estimating Treatment Effects under Recommender Interference: A Structured Neural Networks Approach R Zhan, S Han, Y Hu, Z Jiang arXiv preprint arXiv:2406.14380, 2024 | 4 | 2024 |
| Statistical Properties of Robust Satisficing Z Li, Y Xu, R Zhan arXiv preprint arXiv:2405.20451, 2024 | 3 | 2024 |
| 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 | 2 | 2023 |
| Distributionally Robust Policy Learning under Concept Drifts J Wang, Z Ren, R Zhan, Z Zhou arXiv preprint arXiv:2412.14297, 2024 | | 2024 |
| Adaptively Learning to Select-Rank in Online Platforms J Wang, P Dong, Y Jin, R Zhan, Z Zhou arXiv preprint arXiv:2406.05017, 2024 | | 2024 |
| 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, 0 | | |
Susan AtheyThe Economics of Technology Professor, Stanford University Graduate School of BusinessE-mailová adresa ověřena na: stanford.edu