Diffusion Models Meet Contextual Bandits with Large Action Spaces von Aouali, Imad

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Diffusion Models Meet Contextual Bandits with Large Action Spaces von Aouali, Imad

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Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling von Aouali, Imad, Brunel, Victor-Emmanuel, Rohde, David, Korba, Anna

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Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning von Sakhi, Otmane, Aouali, Imad, Alquier, Pierre, Chopin, Nicolas

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Bayesian Off-Policy Evaluation and Learning for Large Action Spaces von Aouali, Imad, Brunel, Victor-Emmanuel, Rohde, David, Korba, Anna

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Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits von Nguyen, Nicolas, Aouali, Imad, György, András, Vernade, Claire

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Mixed-Effect Thompson Sampling von Aouali, Imad, Kveton, Branislav, Katariya, Sumeet

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Exponential Smoothing for Off-Policy Learning von Aouali, Imad, Brunel, Victor-Emmanuel, Rohde, David, Korba, Anna

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Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation von Aouali, Imad, Benhalloum, Amine, Bompaire, Martin, Heymann, Benjamin, Jeunen, Olivier, Rohde, David, Sakhi, Otmane, Vasile, Flavian

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Probabilistic Rank and Reward: A Scalable Model for Slate Recommendation von Aouali, Imad, Hammou, Achraf Ait Sidi, Sakhi, Otmane, Rohde, David, Vasile, Flavian

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Mixed-Effect Thompson Sampling von Aouali, Imad, Kveton, Branislav, Katariya, Sumeet

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Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning von Sakhi, Otmane, Aouali, Imad, Alquier, Pierre, Chopin, Nicolas

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Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling von Aouali, Imad, Victor-Emmanuel Brunel, Rohde, David, Korba, Anna

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Bayesian Off-Policy Evaluation and Learning for Large Action Spaces von Aouali, Imad, Victor-Emmanuel Brunel, Rohde, David, Korba, Anna

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Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits von Nguyen, Nicolas, Aouali, Imad, György, András, Vernade, Claire

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Combining Reward and Rank Signals for Slate Recommendation von Aouali, Imad, Ivanov, Sergey, Gartrell, Mike, Rohde, David, Vasile, Flavian, Zaytsev, Victor, Legrand, Diego

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Exponential Smoothing for Off-Policy Learning von Aouali, Imad, Victor-Emmanuel Brunel, Rohde, David, Korba, Anna

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Probabilistic Rank and Reward: A Scalable Model for Slate Recommendation von Aouali, Imad, Achraf Ait Sidi Hammou, Sakhi, Otmane, Rohde, David, Vasile, Flavian

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Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation von Aouali, Imad, Benhalloum, Amine, Bompaire, Martin, Heymann, Benjamin, Jeunen, Olivier, Rohde, David, Sakhi, Otmane, Vasile, Flavian

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Combining Reward and Rank Signals for Slate Recommendation von Aouali, Imad, Ivanov, Sergey, Gartrell, Mike, Rohde, David, Vasile, Flavian, Zaytsev, Victor, Legrand, Diego

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