• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 104 matches

• 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: 11418-11441
• 
  Alexandre Verine, Muni Sreenivas Pydi, Benjamin Négrevergne, Yann Chevaleyre:
  Optimal Budgeted Rejection Sampling for Generative Models. AISTATS 2024: 3367-3375
• 
  Florian Le Bronnec, Alexandre Verine, Benjamin Négrevergne, Yann Chevaleyre, Alexandre Allauzen:
  Exploring Precision and Recall to assess the quality and diversity of LLMs. CoRR abs/2402.10693 (2024)
• 2023
• 
  Ikko Yamane, Yann Chevaleyre, Takashi Ishida, Florian Yger:
  Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality. AISTATS 2023: 4768-4801
• 
  Lucas Gnecco Heredia, Muni Sreenivas Pydi, Laurent Meunier, Benjamin Négrevergne, Yann Chevaleyre:
  On the Role of Randomization in Adversarially Robust Classification. NeurIPS 2023
• 
  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 abs/2302.00628 (2023)
• 
  Lucas Gnecco Heredia, Yann Chevaleyre, Benjamin Négrevergne, Laurent Meunier:
  Randomization for adversarial robustness: the Good, the Bad and the Ugly. CoRR abs/2302.07221 (2023)
• 
  Alexandre Verine, Benjamin Négrevergne, Muni Sreenivas Pydi, Yann Chevaleyre:
  Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows. CoRR abs/2305.18910 (2023)
• 
  Lucas Gnecco Heredia, Benjamin Négrevergne, Yann Chevaleyre:
  Adversarial attacks for mixtures of classifiers. CoRR abs/2307.10788 (2023)
• 
  Alexandre Verine, Muni Sreenivas Pydi, Benjamin Négrevergne, Yann Chevaleyre:
  Optimal Budgeted Rejection Sampling for Generative Models. CoRR abs/2311.00460 (2023)
• 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): 3425-3457 (2022)
• 
  Alexandre Verine, Benjamin Négrevergne, Yann Chevaleyre, Fabrice Rossi:
  On the expressivity of bi-Lipschitz normalizing flows. ACML 2022: 1054-1069
• 
  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: 9302-9309
• 
  Laurent Meunier, Raphael Ettedgui, Rafael Pinot, Yann Chevaleyre, Jamal Atif:
  Towards Consistency in Adversarial Classification. NeurIPS 2022
• 
  Geovani Rizk, Igor Colin, Albert Thomas, Rida Laraki, Yann Chevaleyre:
  An $\alpha$-No-Regret Algorithm For Graphical Bilinear Bandits. NeurIPS 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 abs/2203.01148 (2022)
• 
  Laurent Meunier, Raphaël Ettedgui, Rafael Pinot, Yann Chevaleyre, Jamal Atif:
  Towards Consistency in Adversarial Classification. CoRR abs/2205.10022 (2022)
• 
  Geovani Rizk, Igor Colin, Albert Thomas, Rida Laraki, Yann Chevaleyre:
  An α-No-Regret Algorithm For Graphical Bilinear Bandits. CoRR abs/2206.00466 (2022)
• 
  Raphael Ettedgui, Alexandre Araujo, Rafael Pinot, Yann Chevaleyre, Jamal Atif:
  Towards Evading the Limits of Randomized Smoothing: A Theoretical Analysis. CoRR abs/2206.01715 (2022)
• 2021
• 
  Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif:
  On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory. AAAI 2021: 6661-6669
• 
  Laurent Meunier, Iskander Legheraba, Yann Chevaleyre, Olivier Teytaud:
  Asymptotic convergence rates for averaging strategies. FOGA 2021: 1:1-1:11
• 
  Laurent Meunier, Meyer Scetbon, Rafael Pinot, Jamal Atif, Yann Chevaleyre:
  Mixed Nash Equilibria in the Adversarial Examples Game. ICML 2021: 7677-7687
• 
  Geovani Rizk, Albert Thomas, Igor Colin, Rida Laraki, Yann Chevaleyre:
  Best Arm Identification in Graphical Bilinear Bandits. ICML 2021: 9010-9019
• 
  Laurent Meunier, Meyer Scetbon, Rafael Pinot, Jamal Atif, Yann Chevaleyre:
  Mixed Nash Equilibria in the Adversarial Examples Game. CoRR abs/2102.06905 (2021)
• 
  Rafael Pinot, Laurent Meunier, Florian Yger, Cédric Gouy-Pailler, Yann Chevaleyre, Jamal Atif:
  On the robustness of randomized classifiers to adversarial examples. CoRR abs/2102.10875 (2021)
• 
  Alexandre Verine, Benjamin Négrevergne, Fabrice Rossi, Yann Chevaleyre:
  On the expressivity of bi-Lipschitz normalizing flows. CoRR abs/2107.07232 (2021)
• 
  Laurent Meunier, Iskander Legheraba, Yann Chevaleyre, Olivier Teytaud:
  Asymptotic convergence rates for averaging strategies. CoRR abs/2108.04707 (2021)
• 2020
• 
  Khaled Belahcène, Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker:
  Learning Interpretable Models using Soft Integrity Constraints. ACML 2020: 529-544
• 
  Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif:
  Understanding and Training Deep Diagonal Circulant Neural Networks. ECAI 2020: 945-952

skipping 74 more matches