Berard, Hugo

12 publications

ICML 2025 LIVS: A Pluralistic Alignment Dataset for Inclusive Public Spaces Rashid Mushkani, Shravan Nayak, Hugo Berard, Allison Cohen, Shin Koseki, Hadrien Bertrand

ICML 2025 Position: The Right to AI Rashid Mushkani, Hugo Berard, Allison Cohen, Shin Koseki

NeurIPSW 2024 MID-Space: Aligning Diverse Communities' Needs to Inclusive Public Spaces Shravan Nayak, Rashid Mushkani, Hugo Berard, Allison Cohen, Shin Koseki, Hadrien Bertrand

AISTATS 2023 Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods Aleksandr Beznosikov, Eduard Gorbunov, Hugo Berard, Nicolas Loizou

AISTATS 2022 Stochastic Extragradient: General Analysis and Improved Rates Eduard Gorbunov, Hugo Berard, Gauthier Gidel, Nicolas Loizou

ICLR 2022 Online Adversarial Attacks Andjela Mladenovic, Joey Bose, Hugo Berard, William L. Hamilton, Simon Lacoste-Julien, Pascal Vincent, Gauthier Gidel

NeurIPSW 2022 Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods Aleksandr Beznosikov, Eduard Gorbunov, Hugo Berard, Nicolas Loizou

NeurIPS 2021 Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis Under Expected Co-Coercivity Nicolas Loizou, Hugo Berard, Gauthier Gidel, Ioannis Mitliagkas, Simon Lacoste-Julien

ICLR 2020 A Closer Look at the Optimization Landscapes of Generative Adversarial Networks Hugo Berard, Gauthier Gidel, Amjad Almahairi, Pascal Vincent, Simon Lacoste-Julien

NeurIPS 2020 Adversarial Example Games Joey Bose, Gauthier Gidel, Hugo Berard, Andre Cianflone, Pascal Vincent, Simon Lacoste-Julien, Will Hamilton

ICML 2020 Stochastic Hamiltonian Gradient Methods for Smooth Games Nicolas Loizou, Hugo Berard, Alexia Jolicoeur-Martineau, Pascal Vincent, Simon Lacoste-Julien, Ioannis Mitliagkas

ICLR 2019 A Variational Inequality Perspective on Generative Adversarial Networks Gauthier Gidel, Hugo Berard, Gaëtan Vignoud, Pascal Vincent, Simon Lacoste-Julien