Yann Chevaleyre

According to our database1, Yann Chevaleyre authored at least 90 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Optimal Budgeted Rejection Sampling for Generative Models.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Exploring Precision and Recall to assess the quality and diversity of LLMs.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Adversarial attacks for mixtures of classifiers.
CoRR, 2023

Randomization for adversarial robustness: the Good, the Bad and the Ugly.
CoRR, 2023

Training Normalizing Flows with the Precision-Recall Divergence.
CoRR, 2023

Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Role of Randomization in Adversarially Robust Classification.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
On the robustness of randomized classifiers to adversarial examples.
Mach. Learn., 2022

Towards Evading the Limits of Randomized Smoothing: A Theoretical Analysis.
CoRR, 2022

An α-No-Regret Algorithm For Graphical Bilinear Bandits.
CoRR, 2022

An $\alpha$-No-Regret Algorithm For Graphical Bilinear Bandits.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Consistency in Adversarial Classification.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Reactive Stepping for Humanoid Robots using Reinforcement Learning: Application to Standing Push Recovery on the Exoskeleton Atalante.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

On the expressivity of bi-Lipschitz normalizing flows.
Proceedings of the Asian Conference on Machine Learning, 2022

2021
Best Arm Identification in Graphical Bilinear Bandits.
Proceedings of the 38th International Conference on Machine Learning, 2021

Mixed Nash Equilibria in the Adversarial Examples Game.
Proceedings of the 38th International Conference on Machine Learning, 2021

Asymptotic convergence rates for averaging strategies.
Proceedings of the FOGA '21: Foundations of Genetic Algorithms XVI, 2021

On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Fast & Accurate Method for Bounding the Singular Values of Convolutional Layers with Application to Lipschitz Regularization.
CoRR, 2020

Proving μ>1.
CoRR, 2020

On Averaging the Best Samples in Evolutionary Computation.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Online Trajectory Planning Through Combined Trajectory Optimization and Function Approximation: Application to the Exoskeleton Atalante.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Randomization matters How to defend against strong adversarial attacks.
Proceedings of the 37th International Conference on Machine Learning, 2020

Understanding and Training Deep Diagonal Circulant Neural Networks.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Learning Interpretable Models using Soft Integrity Constraints.
Proceedings of The 12th Asian Conference on Machine Learning, 2020

Negotiation and Persuasion Among Agents.
Proceedings of the A Guided Tour of Artificial Intelligence Research: Volume I: Knowledge Representation, 2020

2019
Robust Neural Networks using Randomized Adversarial Training.
CoRR, 2019

On the Expressive Power of Deep Fully Circulant Neural Networks.
CoRR, 2019

Local envy-freeness in house allocation problems.
Auton. Agents Multi Agent Syst., 2019

Interpretable Cascade Classifiers with Abstention.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Disease Classification in Metagenomics with 2D Embeddings and Deep Learning.
CoRR, 2018

Risk Scores Learned by Deep Restricted Boltzmann Machines with Trained Interval Quantization.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

Accountable Approval Sorting.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Training Compact Deep Learning Models for Video Classification Using Circulant Matrices.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Local Envy-Freeness in House Allocation Problems.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

A Provable Algorithm for Learning Interpretable Scoring Systems.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Deep Learning for Metagenomic Data: using 2D Embeddings and Convolutional Neural Networks.
CoRR, 2017

Distributed fair allocation of indivisible goods.
Artif. Intell., 2017

The fused lasso penalty for learning interpretable medical scoring systems.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Voting by sequential elimination with few voters.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
Fair Allocation of Indivisible Goods.
Proceedings of the Handbook of Computational Social Choice, 2016

Solving MDPs with Unknown Rewards Using Nondominated Vector-Valued Functions.
Proceedings of the STAIRS 2016, 2016

Advantage based value iteration for Markov decision processes with unknown rewards.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Experimental analysis of new algorithms for learning ternary classifiers.
Proceedings of the 2015 IEEE RIVF International Conference on Computing & Communication Technologies, 2015

Hybrid of linear programming and genetic algorithm for optimizing agent-based simulation. Application to optimization of sign placement for tsunami evacuation.
Proceedings of the 2015 IEEE RIVF International Conference on Computing & Communication Technologies, 2015

Approximate regret based elicitation in Markov decision process.
Proceedings of the 2015 IEEE RIVF International Conference on Computing & Communication Technologies, 2015

The Power of Swap Deals in Distributed Resource Allocation.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014
Approaches to Optimize Local Evacuation Maps for Helping Evacuation in Case of Tsunami.
Proceedings of the Information Systems for Crisis Response and Management in Mediterranean Countries, 2014

2013
Speeding up the evaluation of casualties in multi-agent simulations with Linear Programming application to optimization of sign placement for tsunami evacuation.
Proceedings of the 2013 IEEE RIVF International Conference on Computing and Communication Technologies, 2013

Rounding Methods for Discrete Linear Classification.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
New candidates welcome! Possible winners with respect to the addition of new candidates.
Math. Soc. Sci., 2012

Optimizing the Placement of Evacuation Signs on Road Network with Time and Casualties in Case of a Tsunami.
Proceedings of the 21st IEEE International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2012

Adaptive Probabilistic Policy Reuse.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011
Compilation and communication protocols for voting rules with a dynamic set of candidates.
Proceedings of the 13th Conference on Theoretical Aspects of Rationality and Knowledge (TARK-2011), 2011

2010
Simple negotiation schemes for agents with simple preferences: sufficiency, necessity and maximality.
Auton. Agents Multi Agent Syst., 2010

Learning conditionally lexicographic preference relations.
Proceedings of the ECAI 2010, 2010

Possible Winners when New Candidates Are Added: The Case of Scoring Rules.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Learning Ordinal Preferences on Multiattribute Domains: The Case of CP-nets.
Proceedings of the Preference Learning., 2010

2009
Representing Utility Functions via Weighted Goals.
Math. Log. Q., 2009

Compiling the Votes of a Subelectorate.
Proceedings of the IJCAI 2009, 2009

2008
The complexity of deciding reachability properties of distributed negotiation schemes.
Theor. Comput. Sci., 2008

Multiagent resource allocation in <i>k</i> -additive domains: preference representation and complexity.
Ann. Oper. Res., 2008

Preference Handling in Combinatorial Domains: From AI to Social Choice.
AI Mag., 2008

The robot swarm re-localization problem.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2008

Experiments with Adaptive Transfer Rate in Reinforcement Learning.
Proceedings of the Knowledge Acquisition: Approaches, 2008

Trajectories of goods in distributed allocation.
Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

2007
A Short Introduction to Computational Social Choice.
Proceedings of the SOFSEM 2007: Theory and Practice of Computer Science, 2007

Reaching Envy-Free States in Distributed Negotiation Settings.
Proceedings of the IJCAI 2007, 2007

Allocating Goods on a Graph to Eliminate Envy.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Issues in Multiagent Resource Allocation.
Informatica (Slovenia), 2006

Expressive Power of Weighted Propositional Formulas for Cardinal Preference Modeling.
Proceedings of the Proceedings, 2006

Une approche multi-agent adaptative pour la simulation de schémas tactiques.
Proceedings of the Extraction et gestion des connaissances (EGC'2006), 2006

How equitable is rational negotiation?
Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), 2006

Tractable negotiation in tree-structured domains.
Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), 2006

Some Recent Results and Open Questions in Distributed Resource Allocation.
Proceedings of the Decision Theory and Multi-Agent Planning, 2006

2005
Multiagent resource allocation.
Knowl. Eng. Rev., 2005

Sur le caractère égalitaire de l'allocation de ressources distribuée.
Proceedings of the Systèmes Multi-Agents, 2005

On Maximal Classes of Utility Functions for Efficient one-to-one Negotiation.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Maximal Classes of Utility Functions for Efficient one-to-one Negotiation: Extended Abstract.
Proceedings of the BNAIC 2005, 2005

Negotiating over small bundles of resources.
Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), 2005

2004
Recent Advances on Multi-agent Patrolling.
Proceedings of the Advances in Artificial Intelligence - SBIA 2004, 17th Brazilian Symposium on Artificial Intelligence, São Luis, Maranhão, Brazil, September 29, 2004

Theoretical Analysis of the Multi-agent Patrolling Problem.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2004), 2004

Welfare Engineering in Practice: On the Variety of Multiagent Resource Allocation Problems.
Proceedings of the Engineering Societies in the Agents World V, 5th InternationalWorkshop, 2004

A Theoretical Analysis of Multi-Agent Patrolling Strategies.
Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 2004

2003
A meta-learning approach to ground symbols from visual percepts.
Robotics Auton. Syst., 2003

2002
A Wrapper-Based Approach to Robot Learning Concepts from Images.
Proceedings of the PRICAI 2002: Trends in Artificial Intelligence, 2002

Wrapper for Object Detection in an Autonomous Mobile Robot.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

2001
A Framework for Learning Rules from Multiple Instance Data.
Proceedings of the Machine Learning: EMCL 2001, 2001

Solving Multiple-Instance and Multiple-Part Learning Problems with Decision Trees and Rule Sets. Application to the Mutagenesis Problem.
Proceedings of the Advances in Artificial Intelligence, 2001


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