Calauzenes, Clement

19 publications

NeurIPS 2024 Optimizing the Coalition Gain in Online Auctions with Greedy Structured Bandits Dorian Baudry, Hugo Richard, Maria Cherifa, Clément Calauzènes, Vianney Perchet

NeurIPS 2024 Strategic Multi-Armed Bandit Problems Under Debt-Free Reporting Ahmed Ben Yahmed, Clément Calauzènes, Vianney Perchet

ICML 2023 Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues Morgane Goibert, Clément Calauzènes, Ekhine Irurozki, Stephan Clémençon

AISTATS 2022 Jointly Efficient and Optimal Algorithms for Logistic Bandits Louis Faury, Marc Abeille, Kwang-Sung Jun, Clement Calauzenes

FnTML 2022 Learning in Repeated Auctions Thomas Nedelec, Clément Calauzènes, Noureddine El Karoui, Vianney Perchet

AISTATS 2021 Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits Marc Abeille, Louis Faury, Clement Calauzenes

ALT 2021 A Technical Note on Non-Stationary Parametric Bandits: Existing Mistakes and Preliminary Solutions Louis Faury, Yoan Russac, Marc Abeille, Clément Calauzènes

ICML 2021 Pure Exploration and Regret Minimization in Matching Bandits Flore Sentenac, Jialin Yi, Clement Calauzenes, Vianney Perchet, Milan Vojnovic

ECCV 2020 Do Not Mask What You Do Not Need to Mask: A Parser-Free Virtual Try-on Thibaut Issenhuth, Jérémie Mary, Clément Calauzènes

ICML 2020 Improved Optimistic Algorithms for Logistic Bandits Louis Faury, Marc Abeille, Clement Calauzenes, Olivier Fercoq

NeurIPS 2020 On Ranking via Sorting by Estimated Expected Utility Clement Calauzenes, Nicolas Usunier

ICML 2020 Real-Time Optimisation for Online Learning in Auctions Lorenzo Croissant, Marc Abeille, Clement Calauzenes

AISTATS 2020 Robust Stackelberg Buyers in Repeated Auctions Thomas Nedelec, Clement Calauzenes, Vianney Perchet, Noureddine El Karoui

NeurIPSW 2020 Wasserstein Learning of Determinantal Point Processes Lucas Anquetil, Mike Gartrell, Alain Rakotomamonjy, Ugo Tanielian, Clément Calauzènes

AISTATS 2019 Bridging the Gap Between Regret Minimization and Best Arm Identification, with Application to A/B Tests Rémy Degenne, Thomas Nedelec, Clement Calauzenes, Vianney Perchet

ICML 2019 Fairness-Aware Learning for Continuous Attributes and Treatments Jeremie Mary, Clément Calauzènes, Noureddine El Karoui

MLJ 2013 Calibration and Regret Bounds for Order-Preserving Surrogate Losses in Learning to Rank Clément Calauzènes, Nicolas Usunier, Patrick Gallinari

NeurIPS 2012 On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking Clément Calauzènes, Nicolas Usunier, Patrick Gallinari

ICML 2011 Learning Scoring Functions with Order-Preserving Losses and Standardized Supervision David Buffoni, Clément Calauzènes, Patrick Gallinari, Nicolas Usunier