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BLOB: A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals.

, , , and . KDD, page 783-793. ACM, (2020)

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Reward Optimizing Recommendation using Deep Learning and Fast Maximum Inner Product Search., , , , , , , , , and . KDD, page 4772-4773. ACM, (2022)A Scalable Probabilistic Model for Reward Optimizing Slate Recommendation., , , , , and . CoRR, (2022)PAC-Bayesian Offline Contextual Bandits With Guarantees., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 29777-29799. PMLR, (2023)BLOB: A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals., , , and . KDD, page 783-793. ACM, (2020)Improving Offline Contextual Bandits with Distributional Robustness., , and . CoRR, (2020)Fast Slate Policy Optimization: Going Beyond Plackett-Luce., , and . Trans. Mach. Learn. Res., (2023)Bayesian Value Based Recommendation: A modelling based alternative to proxy and counterfactual policy based recommendation., , , and . RecSys, page 742-744. ACM, (2020)Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation., , , , , , , and . CoRR, (2022)Fast Offline Policy Optimization for Large Scale Recommendation., , and . CoRR, (2022)Fast Offline Policy Optimization for Large Scale Recommendation., , and . AAAI, page 9686-9694. AAAI Press, (2023)