Réseaux Bayésiens pour fusion de données statiques et temporelles von Rahier, Thibaud

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A Pre-screening Approach for Faster Bayesian Network Structure Learning von Rahier, Thibaud, Marié, Sylvain, Forbes, Florence

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Logarithmic Regret for Unconstrained Submodular Maximization Stochastic Bandit von Zhou, Julien, Gaillard, Pierre, Rahier, Thibaud, Arbel, Julyan

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Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits von Zhou, Julien, Gaillard, Pierre, Rahier, Thibaud, Zenati, Houssam, Arbel, Julyan

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Nested bandits von Martin, Matthieu, Mertikopoulos, Panayotis, Rahier, Thibaud, Zenati, Houssam

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Maximizing the Success Probability of Policy Allocations in Online Systems von Betlei, Artem, Vladimirova, Mariia, Sebbar, Mehdi, Urien, Nicolas, Rahier, Thibaud, Heymann, Benjamin

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Zeroth-order non-convex learning via hierarchical dual averaging von Héliou, Amélie, Martin, Matthieu, Mertikopoulos, Panayotis, Rahier, Thibaud

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Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits von Zhou, Julien, Gaillard, Pierre, Rahier, Thibaud, Zenati, Houssam, Arbel, Julyan

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Online non-convex optimization with imperfect feedback von Héliou, Amélie, Martin, Matthieu, Mertikopoulos, Panayotis, Rahier, Thibaud

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Logarithmic Regret for Unconstrained Submodular Maximization Stochastic Bandit von Zhou, Julien, Gaillard, Pierre, Rahier, Thibaud, Arbel, Julyan

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Diverse Weight Averaging for Out-of-Distribution Generalization von Ramé, Alexandre, Kirchmeyer, Matthieu, Rahier, Thibaud, Rakotomamonjy, Alain, Gallinari, Patrick, Cord, Matthieu

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Individual Treatment Prescription Effect Estimation in a Low Compliance Setting von Rahier, Thibaud, Héliou, Amélie, Martin, Matthieu, Renaudin, Christophe, Diemert, Eustache

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A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift Modeling von Diemert, Eustache, Betlei, Artem, Renaudin, Christophe, Amini, Massih-Reza, Gregoir, Théophane, Rahier, Thibaud

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Nested bandits von Martin, Matthieu, Mertikopoulos, Panayotis, Rahier, Thibaud, Zenati, Houssam

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Maximizing the Success Probability of Policy Allocations in Online Systems von Betlei, Artem, Vladimirova, Mariia, Sebbar, Mehdi, Urien, Nicolas, Rahier, Thibaud, Heymann, Benjamin

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Zeroth-order non-convex learning via hierarchical dual averaging von Héliou, Amélie, Martin, Matthieu, Mertikopoulos, Panayotis, Rahier, Thibaud

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Diverse Weight Averaging for Out-of-Distribution Generalization von Ramé, Alexandre, Kirchmeyer, Matthieu, Rahier, Thibaud, Rakotomamonjy, Alain, Gallinari, Patrick, Cord, Matthieu

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Individual Treatment Prescription Effect Estimation in a Low Compliance Setting von Rahier, Thibaud, Héliou, Amélie, Martin, Matthieu, Renaudin, Christophe, Diemert, Eustache

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Online non-convex optimization with imperfect feedback von Héliou, Amélie, Martin, Matthieu, Mertikopoulos, Panayotis, Rahier, Thibaud

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A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift Modeling von Diemert, Eustache, Betlei, Artem, Renaudin, Christophe, Amini, Massih-Reza, Gregoir, Théophane, Rahier, Thibaud

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