Yann Chevaleyre

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 54

Top Topics

Markov Decision Process

Nash Equilibria

Asymptotic Convergence

Top Venues

Publications

Alexandre Verine, Muni Sreenivas Pydi, Benjamin Négrevergne, Yann Chevaleyre
Optimal Budgeted Rejection Sampling for Generative Models. AISTATS (2024)
Florian Le Bronnec, Alexandre Verine, Benjamin Négrevergne, Yann Chevaleyre, Alexandre Allauzen
Exploring Precision and Recall to assess the quality and diversity of LLMs. ACL (1) (2024)
Alexandre Verine, Benjamin Négrevergne, Muni Sreenivas Pydi, Yann Chevaleyre
Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows. NeurIPS (2023)
Alexandre Verine, Benjamin Négrevergne, Muni Sreenivas Pydi, Yann Chevaleyre
Training Normalizing Flows with the Precision-Recall Divergence. CoRR (2023)
Alexandre Verine, Benjamin Négrevergne, Muni Sreenivas Pydi, Yann Chevaleyre
Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows. CoRR (2023)
Alexandre Verine, Muni Sreenivas Pydi, Benjamin Négrevergne, Yann Chevaleyre
Optimal Budgeted Rejection Sampling for Generative Models. CoRR (2023)
Lucas Gnecco Heredia, Muni Sreenivas Pydi, Laurent Meunier, Benjamin Négrevergne, Yann Chevaleyre
On the Role of Randomization in Adversarially Robust Classification. NeurIPS (2023)
Ikko Yamane, Yann Chevaleyre, Takashi Ishida, Florian Yger
Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality. AISTATS (2023)
Lucas Gnecco Heredia, Benjamin Négrevergne, Yann Chevaleyre
Adversarial attacks for mixtures of classifiers. CoRR (2023)
Lucas Gnecco Heredia, Yann Chevaleyre, Benjamin Négrevergne, Laurent Meunier
Randomization for adversarial robustness: the Good, the Bad and the Ugly. CoRR (2023)
Laurent Meunier, Raphaël Ettedgui, Rafael Pinot, Yann Chevaleyre, Jamal Atif
Towards Consistency in Adversarial Classification. CoRR (2022)
Alexis Duburcq, Fabian Schramm, Guilhem Boéris, Nicolas Bredèche, Yann Chevaleyre
Reactive Stepping for Humanoid Robots using Reinforcement Learning: Application to Standing Push Recovery on the Exoskeleton Atalante. IROS (2022)
Geovani Rizk, Igor Colin, Albert Thomas, Rida Laraki, Yann Chevaleyre
An $\alpha$-No-Regret Algorithm For Graphical Bilinear Bandits. NeurIPS (2022)
Geovani Rizk, Igor Colin, Albert Thomas, Rida Laraki, Yann Chevaleyre
An α-No-Regret Algorithm For Graphical Bilinear Bandits. CoRR (2022)
Alexis Duburcq, Fabian Schramm, Guilhem Boéris, Nicolas Bredèche, Yann Chevaleyre
Reactive Stepping for Humanoid Robots using Reinforcement Learning: Application to Standing Push Recovery on the Exoskeleton Atalante. CoRR (2022)
Rafael Pinot, Laurent Meunier, Florian Yger, Cédric Gouy-Pailler, Yann Chevaleyre, Jamal Atif
On the robustness of randomized classifiers to adversarial examples. Mach. Learn. 111 (9) (2022)
Alexandre Verine, Benjamin Négrevergne, Yann Chevaleyre, Fabrice Rossi
On the expressivity of bi-Lipschitz normalizing flows. ACML (2022)
Raphael Ettedgui, Alexandre Araujo, Rafael Pinot, Yann Chevaleyre, Jamal Atif
Towards Evading the Limits of Randomized Smoothing: A Theoretical Analysis. CoRR (2022)
Laurent Meunier, Raphael Ettedgui, Rafael Pinot, Yann Chevaleyre, Jamal Atif
Towards Consistency in Adversarial Classification. NeurIPS (2022)
Laurent Meunier, Iskander Legheraba, Yann Chevaleyre, Olivier Teytaud
Asymptotic convergence rates for averaging strategies. CoRR (2021)
Laurent Meunier, Meyer Scetbon, Rafael Pinot, Jamal Atif, Yann Chevaleyre
Mixed Nash Equilibria in the Adversarial Examples Game. CoRR (2021)
Laurent Meunier, Iskander Legheraba, Yann Chevaleyre, Olivier Teytaud
Asymptotic convergence rates for averaging strategies. FOGA (2021)
Alexandre Verine, Benjamin Négrevergne, Fabrice Rossi, Yann Chevaleyre
On the expressivity of bi-Lipschitz normalizing flows. CoRR (2021)
Geovani Rizk, Albert Thomas, Igor Colin, Rida Laraki, Yann Chevaleyre
Best Arm Identification in Graphical Bilinear Bandits. ICML (2021)
Laurent Meunier, Meyer Scetbon, Rafael Pinot, Jamal Atif, Yann Chevaleyre
Mixed Nash Equilibria in the Adversarial Examples Game. ICML (2021)
Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif
On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory. AAAI (2021)
Rafael Pinot, Laurent Meunier, Florian Yger, Cédric Gouy-Pailler, Yann Chevaleyre, Jamal Atif
On the robustness of randomized classifiers to adversarial examples. CoRR (2021)
Laurent Meunier, Yann Chevaleyre, Jérémy Rapin, Clément W. Royer, Olivier Teytaud
Proving μ>1. CoRR (2020)
Rafael Pinot, Raphael Ettedgui, Geovani Rizk, Yann Chevaleyre, Jamal Atif
Randomization matters. How to defend against strong adversarial attacks. CoRR (2020)
Geovani Rizk, Albert Thomas, Igor Colin, Rida Laraki, Yann Chevaleyre
Best Arm Identification in Graphical Bilinear Bandits. CoRR (2020)
Khaled Belahcène, Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker
Learning Interpretable Models using Soft Integrity Constraints. ACML (2020)
Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif
Understanding and Training Deep Diagonal Circulant Neural Networks. ECAI (2020)
Rafael Pinot, Raphael Ettedgui, Geovani Rizk, Yann Chevaleyre, Jamal Atif
Randomization matters How to defend against strong adversarial attacks. ICML (2020)
Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif
Fast & Accurate Method for Bounding the Singular Values of Convolutional Layers with Application to Lipschitz Regularization. CoRR (2020)
Laurent Meunier, Yann Chevaleyre, Jérémy Rapin, Clément W. Royer, Olivier Teytaud
On Averaging the Best Samples in Evolutionary Computation. PPSN (2) (2020)
Alexis Duburcq, Yann Chevaleyre, Nicolas Bredèche, Guilhem Boéris
Online Trajectory Planning Through Combined Trajectory Optimization and Function Approximation: Application to the Exoskeleton Atalante. ICRA (2020)
Aurélie Beynier, Yann Chevaleyre, Laurent Gourvès, Ararat Harutyunyan, Julien Lesca, Nicolas Maudet, Anaëlle Wilczynski
Local envy-freeness in house allocation problems. Auton. Agents Multi Agent Syst. 33 (5) (2019)
Alexis Duburcq, Yann Chevaleyre, Nicolas Bredèche, Guilhem Boéris
Online Trajectory Planning Through Combined Trajectory Optimization and Function Approximation: Application to the Exoskeleton Atalante. CoRR (2019)
Alexandre Araujo, Rafael Pinot, Benjamin Négrevergne, Laurent Meunier, Yann Chevaleyre, Florian Yger, Jamal Atif
Robust Neural Networks using Randomized Adversarial Training. CoRR (2019)
Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif
On the Expressive Power of Deep Fully Circulant Neural Networks. CoRR (2019)
Matthieu Clertant, Nataliya Sokolovska, Yann Chevaleyre, Blaise Hanczar
Interpretable Cascade Classifiers with Abstention. AISTATS (2019)
Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker
Risk Scores Learned by Deep Restricted Boltzmann Machines with Trained Interval Quantization. MLDM (1) (2018)
Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker
A Provable Algorithm for Learning Interpretable Scoring Systems. AISTATS (2018)
Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif
Training Compact Deep Learning Models for Video Classification Using Circulant Matrices. ECCV Workshops (4) (2018)
Khaled Belahcène, Yann Chevaleyre, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane
Accountable Approval Sorting. IJCAI (2018)
Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif
Training compact deep learning models for video classification using circulant matrices. CoRR (2018)
Thanh Hai Nguyen, Edi Prifti, Yann Chevaleyre, Nataliya Sokolovska, Jean-Daniel Zucker
Disease Classification in Metagenomics with 2D Embeddings and Deep Learning. CoRR (2018)
Aurélie Beynier, Yann Chevaleyre, Laurent Gourvès, Julien Lesca, Nicolas Maudet, Anaëlle Wilczynski
Local Envy-Freeness in House Allocation Problems. AAMAS (2018)
Sylvain Bouveret, Yann Chevaleyre, François Durand, Jérôme Lang
Voting by sequential elimination with few voters. IJCAI (2017)
Nataliya Sokolovska, Yann Chevaleyre, Karine Clément, Jean-Daniel Zucker
The fused lasso penalty for learning interpretable medical scoring systems. IJCNN (2017)
Thanh Hai Nguyen, Yann Chevaleyre, Edi Prifti, Nataliya Sokolovska, Jean-Daniel Zucker
Deep Learning for Metagenomic Data: using 2D Embeddings and Convolutional Neural Networks. CoRR (2017)
Yann Chevaleyre, Ulle Endriss, Nicolas Maudet
Distributed fair allocation of indivisible goods. Artif. Intell. 242 (2017)
Pegah Alizadeh, Yann Chevaleyre, François Lévy
Solving MDPs with Unknown Rewards Using Nondominated Vector-Valued Functions. STAIRS (2016)
Pegah Alizadeh, Yann Chevaleyre, François Lévy
Advantage based value iteration for Markov decision processes with unknown rewards. IJCNN (2016)
Pegah Alizadeh, Yann Chevaleyre, Jean-Daniel Zucker
Approximate regret based elicitation in Markov decision process. RIVF (2015)
Jean-Daniel Zucker, Yann Chevaleyre, Dao Van Sang
Experimental analysis of new algorithms for learning ternary classifiers. RIVF (2015)
Van-Minh Le, Yann Chevaleyre, Hô Tuòng Vinh, Jean-Daniel Zucker
Hybrid of linear programming and genetic algorithm for optimizing agent-based simulation. Application to optimization of sign placement for tsunami evacuation. RIVF (2015)
Anastasia Damamme, Aurélie Beynier, Yann Chevaleyre, Nicolas Maudet
The Power of Swap Deals in Distributed Resource Allocation. AAMAS (2015)
Van-Minh Le, Yann Chevaleyre, Jean-Daniel Zucker, Tuong-Vinh Ho
Approaches to Optimize Local Evacuation Maps for Helping Evacuation in Case of Tsunami. ISCRAM-med (2014)
Yann Chevaleyre, Frédéric Koriche, Jean-Daniel Zucker
Rounding Methods for Discrete Linear Classification. ICML (1) (2013)
Van-Minh Le, Yann Chevaleyre, Jean-Daniel Zucker, Hô Tuòng Vinh
Speeding up the evaluation of casualties in multi-agent simulations with Linear Programming application to optimization of sign placement for tsunami evacuation. RIVF (2013)
Thi Anh Ngoc Nguyen, Yann Chevaleyre, Jean-Daniel Zucker
Optimizing the Placement of Evacuation Signs on Road Network with Time and Casualties in Case of a Tsunami. WETICE (2012)
Yann Chevaleyre, Jérôme Lang, Nicolas Maudet, Jérôme Monnot, Lirong Xia
New candidates welcome! Possible winners with respect to the addition of new candidates. Math. Soc. Sci. 64 (1) (2012)
Yann Chevaleyre, Aydano Machado Pamponet
Adaptive Probabilistic Policy Reuse. ICONIP (3) (2012)
Yann Chevaleyre, Jérôme Lang, Nicolas Maudet, Jérôme Monnot, Lirong Xia
New Candidates Welcome! Possible Winners with respect to the Addition of New Candidates CoRR (2011)
Yann Chevaleyre, Jérôme Lang, Nicolas Maudet, Jérôme Monnot
Compilation and communication protocols for voting rules with a dynamic set of candidates. TARK (2011)
Richard Booth, Yann Chevaleyre, Jérôme Lang, Jérôme Mengin, Chattrakul Sombattheera
Learning conditionally lexicographic preference relations. ECAI (2010)
Yann Chevaleyre, Ulle Endriss, Nicolas Maudet
Simple negotiation schemes for agents with simple preferences: sufficiency, necessity and maximality. Auton. Agents Multi Agent Syst. 20 (2) (2010)
Yann Chevaleyre, Jérôme Lang, Nicolas Maudet, Jérôme Monnot
Possible Winners when New Candidates Are Added: The Case of Scoring Rules. AAAI (2010)
Yann Chevaleyre, Jérôme Lang, Nicolas Maudet, Guillaume Ravilly-Abadie
Compiling the Votes of a Subelectorate. IJCAI (2009)
Joel Uckelman, Yann Chevaleyre, Ulle Endriss, Jérôme Lang
Representing Utility Functions via Weighted Goals. Math. Log. Q. 55 (4) (2009)
Paul E. Dunne, Yann Chevaleyre
The complexity of deciding reachability properties of distributed negotiation schemes. Theor. Comput. Sci. 396 (1-3) (2008)
Yann Chevaleyre, Ulle Endriss, Jérôme Lang, Nicolas Maudet
Preference Handling in Combinatorial Domains: From AI to Social Choice. AI Mag. 29 (4) (2008)
Yann Chevaleyre, Ulle Endriss, Sylvia Estivie, Nicolas Maudet
-additive domains: preference representation and complexity. Ann. Oper. Res. 163 (1) (2008)
Nicolas Bredèche, Yann Chevaleyre
The robot swarm re-localization problem. ROBIO (2008)
Yann Chevaleyre, Aydano Machado, Jean-Daniel Zucker
Experiments with Adaptive Transfer Rate in Reinforcement Learning. PKAW (2008)
Yann Chevaleyre, Ulle Endriss, Nicolas Maudet
Trajectories of goods in distributed allocation. AAMAS (2) (2008)
Yann Chevaleyre, Ulle Endriss, Sylvia Estivie, Nicolas Maudet
Reaching Envy-Free States in Distributed Negotiation Settings. IJCAI (2007)
Yann Chevaleyre, Ulle Endriss, Jérôme Lang, Nicolas Maudet
A Short Introduction to Computational Social Choice. SOFSEM (1) (2007)
Yann Chevaleyre, Ulrich Endriss, Nicolas Maudet
Allocating Goods on a Graph to Eliminate Envy. AAAI (2007)
Yann Chevaleyre, Ulle Endriss, Jérôme Lang
Expressive Power of Weighted Propositional Formulas for Cardinal Preference Modeling. KR (2006)
Aydano Machado, Yann Chevaleyre, Jean-Daniel Zucker
Une approche multi-agent adaptative pour la simulation de schémas tactiques. EGC (2006)
Yann Chevaleyre, Paul E. Dunne, Ulle Endriss, Jérôme Lang, Michel Lemaître, Nicolas Maudet, Julian A. Padget, Steve Phelps, Juan A. Rodríguez-Aguilar, Paulo Sousa
Issues in Multiagent Resource Allocation. Informatica (Slovenia) 30 (1) (2006)
Yann Chevaleyre, Ulle Endriss, Nicolas Maudet
Tractable negotiation in tree-structured domains. AAMAS (2006)
Sylvia Estivie, Yann Chevaleyre, Ulle Endriss, Nicolas Maudet
How equitable is rational negotiation? AAMAS (2006)
Yann Chevaleyre, Paul E. Dunne, Ulle Endriss, Jérôme Lang, Nicolas Maudet, Juan A. Rodríguez-Aguilar
Multiagent resource allocation. Knowl. Eng. Rev. 20 (2) (2005)
Yann Chevaleyre, Ulle Endriss, Jérôme Lang, Nicolas Maudet
Negotiating over small bundles of resources. AAMAS (2005)
Sylvia Estivie, Yann Chevaleyre, Ulle Endriss, Nicolas Maudet
Sur le caractère égalitaire de l'allocation de ressources distribuée. JFSMA (2005)
Yann Chevaleyre, Ulle Endriss, Nicolas Maudet
Maximal Classes of Utility Functions for Efficient one-to-one Negotiation: Extended Abstract. BNAIC (2005)
Yann Chevaleyre, Ulle Endriss, Nicolas Maudet
On Maximal Classes of Utility Functions for Efficient one-to-one Negotiation. IJCAI (2005)
Yann Chevaleyre, François Sempé, Geber L. Ramalho
A Theoretical Analysis of Multi-Agent Patrolling Strategies. AAMAS (2004)
Yann Chevaleyre, Ulrich Endriss, Sylvia Estivie, Nicolas Maudet
Welfare Engineering in Practice: On the Variety of Multiagent Resource Allocation Problems. ESAW (2004)
Yann Chevaleyre
Theoretical Analysis of the Multi-agent Patrolling Problem. IAT (2004)
Alessandro Almeida, Geber L. Ramalho, Hugo Santana, Patrícia Azevedo Tedesco, Talita Menezes, Vincent Corruble, Yann Chevaleyre
Recent Advances on Multi-agent Patrolling. SBIA (2004)
Nicolas Bredèche, Yann Chevaleyre, Jean-Daniel Zucker, Alexis Drogoul, Gérard Sabah
A meta-learning approach to ground symbols from visual percepts. Robotics Auton. Syst. 43 (2-3) (2003)
Nicolas Bredèche, Yann Chevaleyre, Louis Hugues
Wrapper for Object Detection in an Autonomous Mobile Robot. ICPR (2) (2002)
Nicolas Bredèche, Jean-Daniel Zucker, Yann Chevaleyre
A Wrapper-Based Approach to Robot Learning Concepts from Images. PRICAI (2002)
Yann Chevaleyre, Jean-Daniel Zucker
A Framework for Learning Rules from Multiple Instance Data. ECML (2001)
Yann Chevaleyre, Jean-Daniel Zucker
Solving Multiple-Instance and Multiple-Part Learning Problems with Decision Trees and Rule Sets. Application to the Mutagenesis Problem. Canadian Conference on AI (2001)