| BLOB: A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals O Sakhi, S Bonner, D Rohde, F Vasile Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 41 | 2020 |
| PAC-Bayesian Offline Contextual Bandits with Guarantees O Sakhi, P Alquier, N Chopin International Conference on Machine Learning, 29777-29799, 2023 | 15 | 2023 |
| Improving Offline Contextual Bandits with Distributional Robustness O Sakhi, L Faury, F Vasile RecSys Workshop on Reinforcement Learning and Robust Estimators for …, 2020 | 10 | 2020 |
| Recommender systems through the lens of decision theory F Vasile, D Rohde, O Jeunen, A Benhalloum, O Sakhi Proc. of the 30th World Wide Web Conference ACM Conference, 2021 | 8* | 2021 |
| Reward Optimizing Recommendation using Deep Learning and Fast Maximum Inner Product Search I Aouali, A Benhalloum, M Bompaire, A Ait Sidi Hammou, S Ivanov, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 5 | 2022 |
| Probabilistic rank and reward: A scalable model for slate recommendation I Aouali, AAS Hammou, O Sakhi, D Rohde, F Vasile arXiv preprint arXiv:2208.06263, 2022 | 4 | 2022 |
| Fast Slate Policy Optimization: Going Beyond Plackett-Luce O Sakhi, D Rohde, N Chopin Transactions on Machine Learning Research, 2023 | 3 | 2023 |
| Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation I Aouali, A Benhalloum, M Bompaire, B Heymann, O Jeunen, D Rohde, ... arXiv preprint arXiv:2209.08642, 2022 | 2 | 2022 |
| Fast Offline Policy Optimization for Large Scale Recommendation O Sakhi, D Rohde, A Gilotte Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23), 2022 | 2 | 2022 |
| Reconsidering Analytical Variational Bounds for Output Layers of Deep Networks O Sakhi, S Bonner, D Rohde, F Vasile 4th workshop on Bayesian Deep Learning (NeurIPS 2019), Vancouver, Canada, 2019 | 2 | 2019 |
| Offline Contextual Bandit: Theory and Large Scale Applications O Sakhi Institut Polytechnique de Paris, 2023 | 1 | 2023 |
| Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning O Sakhi, I Aouali, P Alquier, N Chopin NeuRIPS 2024 (Spotlight), 2024 | | 2024 |
| Bayesian Value Based Recommendation: A modelling based alternative to proxy and counterfactual policy based recommendation D Rohde, F Vasile, S Ivanov, O Sakhi Proceedings of the 14th ACM Conference on Recommender Systems, 742-744, 2020 | | 2020 |
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