Yann Chevaleyre
21 papers · 2013–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (7) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (12)
🌍
Conference Polyglot
(7)
🏃
Academic Marathon
(12)
🧭
Keyword Pioneer
🗃️
Keyword Collector
(82)
💎
Century Club
(21)
🔥
Unstoppable
(9)
🚀
Conference Pioneer
Conferences
AISTATS (6)
ICML (5)
NIPS (4)
ACML (2)
IJCAI (2)
AAAI (1)
ACL (1)
Top co-authors
Keywords
supervised learning
(2)
graph structure
(2)
interpretable model
(2)
zero-sum game
(2)
adversarial robustness
(2)
generative model
(2)
multi-armed bandit
(2)
normalizing flow
(2)
randomized classifier
(2)
adversarial example
(2)
sequential decision making
(1)
neural network optimization
(1)
evaluation framework
(1)
regret minimization
(1)
game theory
(1)
image generation
(1)
interpretable machine learning
(1)
rademacher complexity
(1)
communication complexity
(1)
transfer learning
(1)
Papers
Memorization in Attention-only Transformers
AISTATS 2025
Improving Diversity in Language Models: When Temperature Fails, Change the Loss
ICML 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
On the Role of Randomization in Adversarially Robust Classification
NIPS 2023
Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows
NIPS 2023
Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality
AISTATS 2023
Towards Consistency in Adversarial Classification
NIPS 2022
An $\alpha$-No-Regret Algorithm For Graphical Bilinear Bandits
NIPS 2022
On the expressivity of bi-Lipschitz normalizing
flows
ACML 2022
Mixed Nash Equilibria in the Adversarial Examples Game
ICML 2021
On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory
AAAI 2021
Best Arm Identification in Graphical Bilinear Bandits
ICML 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
A Provable Algorithm for Learning Interpretable Scoring Systems
AISTATS 2018
Accountable Approval Sorting
IJCAI 2018
Voting by sequential elimination with few voters
IJCAI 2017
Rounding Methods for Discrete Linear Classification
ICML 2013