Revenue-Maximizing Auctions: A Bidder’s Standpoint von Nedelec, Thomas, Calauzènes, Clément, Perchet, Vianney, El Karoui, Noureddine

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Calibration and regret bounds for order-preserving surrogate losses in learning to rank von Calauzènes, Clément, Usunier, Nicolas, Gallinari, Patrick

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Calibration and regret bounds for order-preserving surrogate losses in learning to rank: Preference Learning and Ranking von CALAUZENES, Clément, USUNIER, Nicolas, GALLINARI, Patrick

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Do Not Mask What You Do Not Need to Mask: A Parser-Free Virtual Try-On von Issenhuth, Thibaut, Mary, Jérémie, Calauzènes, Clément

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Dynamic online matching with budget refills von Cherifa, Maria, Calauzènes, Clément, Perchet, Vianney

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Strategic Arms with Side Communication Prevail Over Low-Regret MAB Algorithms von Ahmed Ben Yahmed, Calauzènes, Clément, Perchet, Vianney

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Embedding models for recommendation under contextual constraints von Krichene, Syrine, Gartrell, Mike, Calauzenes, Clement

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Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues von Goibert, Morgane, Calauzènes, Clément, Irurozki, Ekhine, Clémençon, Stéphan

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Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits von Abeille, Marc, Faury, Louis, Calauzènes, Clément

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Real-Time Optimisation for Online Learning in Auctions von Croissant, Lorenzo, Abeille, Marc, Calauzènes, Clément

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Improving Evolutionary Strategies with Generative Neural Networks von Faury, Louis, Calauzenes, Clement, Fercoq, Olivier, Krichen, Syrine

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Do Not Mask What You Do Not Need to Mask: a Parser-Free Virtual Try-On von Issenhuth, Thibaut, Mary, Jérémie, Calauzènes, Clément

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Dynamic online matching with budget refills von Cherifa, Maria, Calauzènes, Clément, Perchet, Vianney

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Jointly Efficient and Optimal Algorithms for Logistic Bandits von Faury, Louis, Abeille, Marc, Jun, Kwang-Sung, Calauzènes, Clément

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Pure Exploration and Regret Minimization in Matching Bandits von Sentenac, Flore, Yi, Jialin, Calauzènes, Clément, Perchet, Vianney, Vojnovic, Milan

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Regret Bounds for Generalized Linear Bandits under Parameter Drift von Faury, Louis, Russac, Yoan, Abeille, Marc, Calauzènes, Clément

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End-to-End Learning of Geometric Deformations of Feature Maps for Virtual Try-On von Issenhuth, Thibaut, Mary, Jérémie, Calauzènes, Clément

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Wasserstein Learning of Determinantal Point Processes von Anquetil, Lucas, Gartrell, Mike, Rakotomamonjy, Alain, Tanielian, Ugo, Calauzènes, Clément

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Learning in repeated auctions von Nedelec, Thomas, Calauzènes, Clément, Karoui, Noureddine El, Perchet, Vianney

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Distributed SAGA: Maintaining linear convergence rate with limited communication von Calauzènes, Clément, Roux, Nicolas Le

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