Gauthier Gidel

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A Variational Inequality Perspective on Generative Adversarial Networks pdf

Gauthier Gidel, Pascal Vincent, Simon Lacoste-Julien, 2018, ICLR.

Adversarial Example Games pdf

William L. Hamilton, Gauthier Gidel, Pascal Vincent, 2020, NeurIPS.

Real World Games Look Like Spinning Tops pdf

Max Jaderberg, Wojciech Marian Czarnecki, Brendan D. Tracey, 2020, NeurIPS.

Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates

Aaron Mishkin, Mark W. Schmidt, Issam H. Laradji, 2019, NeurIPS.

Finite Regret and Cycles with Fixed Step-Size via Alternating Gradient Descent-Ascent pdf

Georgios Piliouras, James P. Bailey, Gauthier Gidel, 2019, COLT.

Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates

Mark W. Schmidt, Issam H. Laradji, S. Lacoste-Julien, 2019, NeurIPS.

Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics

Yoshua Bengio, Gauthier Gidel, Giancarlo Kerg, 2019, NeurIPS.

Linear Lower Bounds and Conditioning of Differentiable Games

Ioannis Mitliagkas, Gauthier Gidel, Waïss Azizian, 2019, ICML.

Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top

Eduard A. Gorbunov, Gauthier Gidel, Samuel Horv'ath, 2023, ICLR.

Only Tails Matter: Average-Case Universality and Robustness in the Convex Regime

Leonardo A Cunha, Fabian Pedregosa, Courtney Paquette, 2022, ICML.

Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise

Eduard A. Gorbunov, P. Dvurechensky, A. Gasnikov, 2022, ArXiv.

The ICML 2022 Expressive Vocalizations Workshop and Competition: Recognizing, Generating, and Personalizing Vocal Bursts

Alan S. Cowen, Björn Schuller, E. Cambria, 2022, ArXiv.

Generating Diverse Realistic Laughter for Interactive Art

Gauthier Gidel, M. Afsar, K. Mathewson, 2021, ArXiv.

Optimal Extragradient-Based Bilinearly-Coupled Saddle-Point Optimization

Michael I. Jordan, S. Du, C. J. Li, 2022, ArXiv.

A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis

Christos Tsirigotis, Gauthier Gidel, A. Bose, 2022, ArXiv.

Dissecting adaptive methods in GANs

Yuanzhi Li, Gauthier Gidel, A. Mensch, 2022, ArXiv.

Last-Iterate Convergence of Optimistic Gradient Method for Monotone Variational Inequalities

Eduard A. Gorbunov, Adrien B. Taylor, Gauthier Gidel, 2022, 2205.08446.

Nesterov Meets Optimism: Rate-Optimal Optimistic-Gradient-Based Method for Stochastic Bilinearly-Coupled Minimax Optimization

Michael I. Jordan, M.I. Jordan, C. J. Li, 2022, ArXiv.

Last-Iterate Convergence of Optimistic Gradient Method for Monotone Variational Inequalities

Eduard A. Gorbunov, Adrien B. Taylor, Gauthier Gidel, 2022, NeurIPS.

Extragradient with Positive Momentum is Optimal for Games with Cross-Shaped Jacobian Spectrum

Anastasios Kyrillidis, Fabian Pedregosa, Gauthier Gidel, 2022, ArXiv.

Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise

Eduard A. Gorbunov, P. Dvurechensky, A. Gasnikov, 2022, NeurIPS.

Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity

Eduard A. Gorbunov, Adrien B. Taylor, Gauthier Gidel, 2022, 2210.13831.

Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top

Eduard A. Gorbunov, Gauthier Gidel, Samuel Horv'ath, 2022, ArXiv.

Nesterov Meets Optimism: Rate-Optimal Optimistic-Gradient-Based Method for Stochastic Bilinearly-Coupled Minimax Optimization

M.I. Jordan, C. J. Li, Gauthier Gidel, 2022, ArXiv.

Accelerating Smooth Games by Manipulating Spectral Shapes

Ioannis Mitliagkas, S. Lacoste-Julien, Gauthier Gidel, 2020, AISTATS.

Optimal Extragradient-Based Bilinearly-Coupled Saddle-Point Optimization

Michael I. Jordan, S. Du, C. J. Li, 2022, ArXiv.

On the Convergence of Stochastic Extragradient for Bilinear Games with Restarted Iteration Averaging

Nicolas Le Roux, Michael I. Jordan, Nicolas Loizou, 2021, AISTATS.

Lower Bounds and Conditioning of Differentiable Games pdf

Ioannis Mitliagkas, Adam Ibrahim, Waiss Azizian, 2019, ArXiv.

Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top

Eduard A. Gorbunov, Gauthier Gidel, Samuel Horv'ath, 2022, ICLR.

Adaptive Three Operator Splitting pdf

Gauthier Gidel, Fabian Pedregosa, Fabian Pedregosa, 2018, ICML.

Extragradient Method: O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity

Eduard A. Gorbunov, Nicolas Loizou, Gauthier Gidel, 2021, AISTATS.

A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games

Ioannis Mitliagkas, Gauthier Gidel, Simon Lacoste-Julien, 2020, AISTATS.

Frank-Wolfe Algorithms for Saddle Point Problems

Tony Jebara, Gauthier Gidel, Simon Lacoste-Julien, 2016, AISTATS.

A single gradient step finds adversarial examples on random two-layers neural networks

Sébastien Bubeck, Yeshwanth Cherapanamjeri, Gauthier Gidel, 2021, NeurIPS.

Feature Likelihood Score: Evaluating Generalization of Generative Models Using Samples

Gauthier Gidel, A. Bose, Marco Jiralerspong, 2023, ArXiv.

A Tight and Unified Analysis of Extragradient for a Whole Spectrum of Differentiable Games pdf

Ioannis Mitliagkas, Gauthier Gidel, Simon Lacoste-Julien, 2019, ArXiv.

Frank-Wolfe Splitting via Augmented Lagrangian Method pdf

Gauthier Gidel, Fabian Pedregosa, Simon Lacoste-Julien, 2018, AISTATS.

When is Momentum Extragradient Optimal? A Polynomial-Based Analysis

Anastasios Kyrillidis, Fabian Pedregosa, Gauthier Gidel, 2022, 2211.04659.

Reducing Noise in GAN Training with Variance Reduced Extragradient

Tatjana Chavdarova, François Fleuret, Gauthier Gidel, 2019, NeurIPS.

Raising the Bar for Certified Adversarial Robustness with Diffusion Models

Gauthier Gidel, Leo Schwinn, Björn M. Eskofier, 2023, ArXiv.

Stochastic Extragradient: General Analysis and Improved Rates

Eduard A. Gorbunov, Nicolas Loizou, Gauthier Gidel, 2021, AISTATS.

Feature Likelihood Score: Evaluating Generalization of Generative Models Using Samples

Gauthier Gidel, A. Bose, Marco Jiralerspong, 2023, ArXiv.

Implicit Regularization of Discrete Gradient Dynamics in Deep Linear Neural Networks

Francis Bach, Gauthier Gidel, Simon Lacoste-Julien, 2019, NeurIPS.

Generalized Natural Gradient Flows in Hidden Convex-Concave Games and GANs

G. Piliouras, Gauthier Gidel, Andjela Mladenovic, 2022, ICLR.

Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity pdf

Ioannis Mitliagkas, Gauthier Gidel, Nicolas Loizou, 2021, NeurIPS.

Negative Momentum for Improved Game Dynamics pdf

Ioannis Mitliagkas, Mohammad Pezeshki, Gauthier Gidel, 2018, AISTATS.

Performative Prediction with Neural Networks

Ioannis Mitliagkas, Gauthier Gidel, Mehrnaz Mofakhami, 2023, AISTATS.

Synaptic Weight Distributions Depend on the Geometry of Plasticity

Blake A. Richards, Gauthier Gidel, Guillaume Lajoie, 2023, ArXiv.

Parametric Adversarial Divergences are Good Task Losses for Generative Modeling pdf

Gauthier Gidel, Ahmed Touati, Gabriel Huang, 2017, ICLR.

Convergence Analysis and Implicit Regularization of Feedback Alignment for Deep Linear Networks pdf

Ioannis Mitliagkas, Gauthier Gidel, Manuela Girotti, 2021, ArXiv.

Parametric Adversarial Divergences are Good Losses for Generative Modeling

Pascal Vincent, S. Lacoste-Julien, Gauthier Gidel, 2017, 1708.02511.

GOOD TASK LOSSES FOR GENERATIVE MODELING

Pascal Vincent, S. Lacoste-Julien, Gauthier Gidel, 2018 .

On the Limitations of Elo: Real-World Games, are Transitive, not Additive

Wojciech M. Czarnecki, Gauthier Gidel, Quentin Bertrand, 2022, AISTATS.

Minimax Theorem for Latent Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets pdf

Yoram Bachrach, David Balduzzi, Wojciech Marian Czarnecki, 2020, ArXiv.

Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity

Eduard A. Gorbunov, Adrien B. Taylor, Gauthier Gidel, 2022, ICML.

Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity pdf

Junhyuk Oh, David Balduzzi, Dhruva Tirumala, 2021, AAMAS.

Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features

Gauthier Gidel, David Dobre, A. Beznosikov, 2023, ArXiv.

Beyond L1: Faster and Better Sparse Models with skglm

Mathurin Massias, Gauthier Gidel, Quentin Klopfenstein, 2022, NeurIPS.

A Closer Look at the Optimization Landscapes of Generative Adversarial Networks pdf

Pascal Vincent, Gauthier Gidel, Amjad Almahairi, 2019, ICLR.

A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets

Yoram Bachrach, David Balduzzi, Wojciech Marian Czarnecki, 2021, AISTATS.

Generating Diverse Vocal Bursts with StyleGAN2 and MEL-Spectrograms

Gauthier Gidel, Marco Jiralerspong, 2022, ArXiv.

Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization

Michael I. Jordan, Quanquan Gu, C. J. Li, 2022, ICML.

Online Adversarial Attacks

William L. Hamilton, Pascal Vincent, S. Lacoste-Julien, 2021, ICLR.

A Variational Inequality Perspective on Generative Adversarial Nets

Pascal Vincent, S. Lacoste-Julien, Gauthier Gidel, 2018, ArXiv.

Expected flow networks in stochastic environments and two-player zero-sum games

Y. Bengio, Gauthier Gidel, Nikolay Malkin, 2023, ArXiv.

Q-learners Can Provably Collude in the Iterated Prisoner's Dilemma

Emilio Calvano, Gauthier Gidel, Quentin Bertrand, 2023, ArXiv.

A Persuasive Approach to Combating Misinformation

Gauthier Gidel, Andjela Mladenovic, Safwan Hossain, 2023, ArXiv.

Learning diverse attacks on large language models for robust red-teaming and safety tuning

Y. Bengio, Gauthier Gidel, Moksh Jain, 2024, ArXiv.

A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis

Christos Tsirigotis, Gauthier Gidel, A. Bose, 2022, ICLR.

In-Context Learning Can Re-learn Forbidden Tasks

Gauthier Gidel, David Dobre, Sophie Xhonneux, 2024, ArXiv.

Performative Prediction on Games and Mechanism Design

Gauthier Gidel, Ant'onio G'ois, Mehrnaz Mofakhami, 2024, 2408.05146.

On the Stability of Iterative Retraining of Generative Models on their own Data

Gauthier Gidel, Marco Jiralerspong, Quentin Bertrand, 2023, ICLR.

Optimal Extragradient-Based Algorithms for Stochastic Variational Inequalities with Separable Structure

C. J. Li, Gauthier Gidel, An Yuan, 2023, NeurIPS.