Yann Chevaleyre
21 papers · 2013–2025 · 7 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (37)
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Keyword Champion
(3)
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Keyword Collector
(100)
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Century Club Β· Bronze
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Research topics
Machine Learning
(19)
Artificial Intelligence
(9)
Core AI
(9)
Learning Types
(9)
Core Methods
(8)
Optimization & Theory Β· Machine Learning
(8)
Deep Learning
(6)
Mathematics & Optimization
(6)
Optimization
(5)
Optimization & Theory Β· Deep Learning
(4)
Models
(3)
Natural Language Processing
(2)
Architectures
(2)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Keywords
adversarial robustness
(3)
randomized classifier
(3)
graph structure
(2)
supervised learning
(2)
adversarial classification
(2)
generative model
(2)
interpretable model
(2)
normalizing flow
(2)
adversarial example
(2)
zero-sum game
(2)
multi-armed bandit
(2)
neural network optimization
(1)
graph theory
(1)
evaluation framework
(1)
interpretable machine learning
(1)
game theory
(1)
image generation
(1)
communication complexity
(1)
cascade classifier
(1)
transfer learning
(1)
Papers
Improving Diversity in Language Models: When Temperature Fails, Change the Loss
ICML 2025
Memorization in Attention-only Transformers
AISTATS 2025
Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory
AISTATS 2025
Exploring Precision and Recall to assess the quality and diversity of LLMs
ACL 2024
Optimal Budgeted Rejection Sampling for Generative Models
AISTATS 2024
Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality
AISTATS 2023
On the Role of Randomization in Adversarially Robust Classification
NeurIPS 2023
Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows
NeurIPS 2023
An Ξ±-No-Regret Algorithm For Graphical Bilinear Bandits
NeurIPS 2022
On the expressivity of bi-Lipschitz normalizing
flows
ACML 2022
Towards Consistency in Adversarial Classification
NeurIPS 2022
Best Arm Identification in Graphical Bilinear Bandits
ICML 2021
Mixed Nash Equilibria in the Adversarial Examples Game
ICML 2021
On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory
AAAI 2021
Learning Interpretable Models using Soft Integrity Constraints
ACML 2020
Randomization matters How to defend against strong adversarial attacks
ICML 2020
Interpretable Cascade Classifiers with Abstention
AISTATS 2019
Accountable Approval Sorting
IJCAI 2018
A Provable Algorithm for Learning Interpretable Scoring Systems
AISTATS 2018
Voting by sequential elimination with few voters
IJCAI 2017
Rounding Methods for Discrete Linear Classification
ICML 2013