Clément Calauzènes

According to our database, Clément Calauzènes authored at least 28 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues.

Morgane Goibert, Clément Calauzènes, Ekhine Irurozki, Stéphan Clémençon

Proceedings of the International Conference on Machine Learning, 2023

2022

Revenue-Maximizing Auctions: A Bidder's Standpoint.

Thomas Nedelec, Clément Calauzènes, Vianney Perchet, Noureddine El Karoui

Oper. Res., 2022

Learning in Repeated Auctions.

Thomas Nedelec, Clément Calauzènes, Noureddine El Karoui, Vianney Perchet

Found. Trends Mach. Learn., 2022

Jointly Efficient and Optimal Algorithms for Logistic Bandits.

Louis Faury, Marc Abeille, Kwang-Sung Jun, Clément Calauzènes

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Regret Bounds for Generalized Linear Bandits under Parameter Drift.

Louis Faury, Yoan Russac, Marc Abeille, Clément Calauzènes

CoRR, 2021

Pure Exploration and Regret Minimization in Matching Bandits.

Flore Sentenac, Jialin Yi, Clément Calauzènes, Vianney Perchet, Milan Vojnovic

Proceedings of the 38th International Conference on Machine Learning, 2021

A Technical Note on Non-Stationary Parametric Bandits: Existing Mistakes and Preliminary Solutions.

Louis Faury, Yoan Russac, Marc Abeille, Clément Calauzènes

Proceedings of the Algorithmic Learning Theory, 2021

Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits.

Marc Abeille, Louis Faury, Clément Calauzènes

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Wasserstein Learning of Determinantal Point Processes.

Lucas Anquetil, Mike Gartrell, Alain Rakotomamonjy, Ugo Tanielian, Clément Calauzènes

CoRR, 2020

On ranking via sorting by estimated expected utility.

Clément Calauzènes, Nicolas Usunier

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Improved Optimistic Algorithms for Logistic Bandits.

Louis Faury, Marc Abeille, Clément Calauzènes, Olivier Fercoq

Proceedings of the 37th International Conference on Machine Learning, 2020

Real-Time Optimisation for Online Learning in Auctions.

Lorenzo Croissant, Marc Abeille, Clément Calauzènes

Proceedings of the 37th International Conference on Machine Learning, 2020

Do Not Mask What You Do Not Need to Mask: A Parser-Free Virtual Try-On.

Thibaut Issenhuth, Jérémie Mary, Clément Calauzènes

Proceedings of the Computer Vision - ECCV 2020, 2020

Robust Stackelberg buyers in repeated auctions.

Thomas Nedelec, Clément Calauzènes, Vianney Perchet, Noureddine El Karoui

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Embedding models for recommendation under contextual constraints.

Syrine Krichene, Mike Gartrell, Clément Calauzènes

CoRR, 2019

End-to-End Learning of Geometric Deformations of Feature Maps for Virtual Try-On.

Thibaut Issenhuth, Jérémie Mary, Clément Calauzènes

CoRR, 2019

Improving Evolutionary Strategies with Generative Neural Networks.

Louis Faury, Clément Calauzènes, Olivier Fercoq, Syrine Krichene

CoRR, 2019

Fairness-Aware Learning for Continuous Attributes and Treatments.

Jérémie Mary, Clément Calauzènes, Noureddine El Karoui

Proceedings of the 36th International Conference on Machine Learning, 2019

Benchmarking GNN-CMA-ES on the BBOB noiseless testbed.

Louis Faury, Clément Calauzènes, Olivier Fercoq

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Bridging the gap between regret minimization and best arm identification, with application to A/B tests.

Rémy Degenne, Thomas Nedelec, Clément Calauzènes, Vianney Perchet

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Thresholding the virtual value: a simple method to increase welfare and lower reserve prices in online auction systems.

Thomas Nedelec, Marc Abeille, Clément Calauzènes, Noureddine El Karoui, Benjamin Heymann, Vianney Perchet

CoRR, 2018

Neural Generative Models for Global Optimization with Gradients.

Louis Faury, Flavian Vasile, Clément Calauzènes, Olivier Fercoq

CoRR, 2018

Explicit shading strategies for repeated truthful auctions.

Marc Abeille, Clément Calauzènes, Noureddine El Karoui, Thomas Nedelec, Vianney Perchet

CoRR, 2018

Offline A/B Testing for Recommender Systems.

Alexandre Gilotte, Clément Calauzènes, Thomas Nedelec, Alexandre Abraham, Simon Dollé

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

2017

Distributed SAGA: Maintaining linear convergence rate with limited communication.

Clément Calauzènes, Nicolas Le Roux

CoRR, 2017

2013

Calibration and regret bounds for order-preserving surrogate losses in learning to rank.

Clément Calauzènes, Nicolas Usunier, Patrick Gallinari

Mach. Learn., 2013

2012

"On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking".

Clément Calauzènes, Nicolas Usunier, Patrick Gallinari

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Learning Scoring Functions with Order-Preserving Losses and Standardized Supervision.

David Buffoni, Clément Calauzènes, Patrick Gallinari, Nicolas Usunier

Proceedings of the 28th International Conference on Machine Learning, 2011