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David Rohde

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Bayesian Off-Policy Evaluation and Learning for Large Action Spaces

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Feb 22, 2024
Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba

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Position Paper: Why the Shooting in the Dark Method Dominates Recommender Systems Practice; A Call to Abandon Anti-Utopian Thinking

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Feb 08, 2024
David Rohde

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Fast Slate Policy Optimization: Going Beyond Plackett-Luce

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Aug 03, 2023
Otmane Sakhi, David Rohde, Nicolas Chopin

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Exponential Smoothing for Off-Policy Learning

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May 25, 2023
Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba

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Learning from aggregated data with a maximum entropy model

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Oct 05, 2022
Alexandre Gilotte, Ahmed Ben Yahmed, David Rohde

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Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation

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Sep 18, 2022
Imad Aouali, Amine Benhalloum, Martin Bompaire, Benjamin Heymann, Olivier Jeunen, David Rohde, Otmane Sakhi, Flavian Vasile

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Fast Offline Policy Optimization for Large Scale Recommendation

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Aug 11, 2022
Otmane Sakhi, David Rohde, Alexandre Gilotte

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A Scalable Probabilistic Model for Reward Optimizing Slate Recommendation

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Aug 10, 2022
Imad Aouali, Achraf Ait Sidi Hammou, Sergey Ivanov, Otmane Sakhi, David Rohde, Flavian Vasile

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Combining Reward and Rank Signals for Slate Recommendation

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Jul 29, 2021
Imad Aouali, Sergey Ivanov, Mike Gartrell, David Rohde, Flavian Vasile, Victor Zaytsev, Diego Legrand

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From Clicks to Conversions: Recommendation for long-term reward

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Sep 01, 2020
Philomène Chagniot, Flavian Vasile, David Rohde

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