| Offline Evaluation for Reinforcement Learning-based Recommendation: A Critical Issue and Some Alternatives R Deffayet, T Thonet, JM Renders, M de Rijke SIGIR Forum 56 (2), 2023 | 15 | 2023 |
| Generative slate recommendation with reinforcement learning R Deffayet, T Thonet, JM Renders, M de Rijke Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 14 | 2023 |
| An offline metric for the debiasedness of click models R Deffayet, P Hager, JM Renders, M de Rijke Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 5 | 2023 |
| Evaluating the robustness of click models to policy distributional shift R Deffayet, JM Renders, M De Rijke ACM Transactions on Information Systems 41 (4), 1-28, 2023 | 5 | 2023 |
| SARDINE: A Simulator for Automated Recommendation in Dynamic and Interactive Environments R Deffayet, T Thonet, D Hwang, V Lehoux, JM Renders, M de Rijke ACM Transactions on Recommender Systems, 2023 | 1 | 2023 |
| Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset P Hager, R Deffayet, JM Renders, O Zoeter, M de Rijke arXiv preprint arXiv:2404.02543, 2024 | | 2024 |
| Report on the 1st Workshop on Generative Information Retrieval (Gen-IR 2023) at SIGIR 2023 G Bénédict, R Zhang, D Metzler, A Yates, R Deffayet, P Hager, S Jullien ACM SIGIR Forum 57 (2), 1-23, 2024 | | 2024 |
| Distributional Reinforcement Learning with Dual Expectile-Quantile Regression S Jullien, R Deffayet, JM Renders, P Groth, M de Rijke arXiv preprint arXiv:2305.16877, 2023 | | 2023 |
| Bandit Algorithms for Adaptive Modulation and Coding in Wireless Networks R Deffayet | | 2020 |
Maarten de RijkeUniversity of Amsterdam & ICAIAdresse e-mail validée de uva.nl
