Gauthier Gidel

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 108

Top Venues

CoRR

NeurIPS

AISTATS

ICLR

Publications

Marco Jiralerspong, Bilun Sun, Danilo Vucetic, Tianyu Zhang, Yoshua Bengio, Gauthier Gidel, Nikolay Malkin
Expected flow networks in stochastic environments and two-player zero-sum games. ICLR (2024)
Leo Schwinn, David Dobre, Sophie Xhonneux, Gauthier Gidel, Stephan Günnemann
Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space. CoRR (2024)
Damien Ferbach, Baptiste Goujaud, Gauthier Gidel, Aymeric Dieuleveut
Proving Linear Mode Connectivity of Neural Networks via Optimal Transport. AISTATS (2024)
Tara Akhound-Sadegh, Jarrid Rector-Brooks, Avishek Joey Bose, Sarthak Mittal, Pablo Lemos, Cheng-Hao Liu, Marcin Sendera, Siamak Ravanbakhsh, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Alexander Tong
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities. CoRR (2024)
Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain
Learning diverse attacks on large language models for robust red-teaming and safety tuning. CoRR (2024)
Quentin Bertrand, Avishek Joey Bose, Alexandre Duplessis, Marco Jiralerspong, Gauthier Gidel
On the Stability of Iterative Retraining of Generative Models on their own Data. ICLR (2024)
Junhyung Lyle Kim, Gauthier Gidel, Anastasios Kyrillidis, Fabian Pedregosa
When is Momentum Extragradient Optimal? A Polynomial-Based Analysis. Trans. Mach. Learn. Res. 2024 (2024)
Ruslan Nazykov, Aleksandr Shestakov, Vladimir Solodkin, Aleksandr Beznosikov, Gauthier Gidel, Alexander V. Gasnikov
Stochastic Frank-Wolfe: Unified Analysis and Zoo of Special Cases. AISTATS (2024)
Roman Pogodin, Jonathan Cornford, Arna Ghosh, Gauthier Gidel, Guillaume Lajoie, Blake Aaron Richards
Synaptic Weight Distributions Depend on the Geometry of Plasticity. ICLR (2024)
Sophie Xhonneux, Alessandro Sordoni, Stephan Günnemann, Gauthier Gidel, Leo Schwinn
Efficient Adversarial Training in LLMs with Continuous Attacks. CoRR (2024)
Sophie Xhonneux, David Dobre, Jian Tang, Gauthier Gidel, Dhanya Sridhar
In-Context Learning Can Re-learn Forbidden Tasks. CoRR (2024)
Damien Ferbach, Quentin Bertrand, Avishek Joey Bose, Gauthier Gidel
Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences. CoRR (2024)
Safwan Hossain, Andjela Mladenovic, Yiling Chen, Gauthier Gidel
A Persuasive Approach to Combating Misinformation. CoRR (2023)
Marco Jiralerspong, Bilun Sun, Danilo Vucetic, Tianyu Zhang, Yoshua Bengio, Gauthier Gidel, Nikolay Malkin
Expected flow networks in stochastic environments and two-player zero-sum games. CoRR (2023)
Juan Ramirez, Rohan Sukumaran, Quentin Bertrand, Gauthier Gidel
Omega: Optimistic EMA Gradients. CoRR (2023)
Mehrnaz Mofakhami, Ioannis Mitliagkas, Gauthier Gidel
Performative Prediction with Neural Networks. CoRR (2023)
Chris Junchi Li, Huizhuo Yuan, Gauthier Gidel, Quanquan Gu, Michael I. Jordan
Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization. ICML (2023)
Roman Pogodin, Jonathan Cornford, Arna Ghosh, Gauthier Gidel, Guillaume Lajoie, Blake A. Richards
Synaptic Weight Distributions Depend on the Geometry of Plasticity. CoRR (2023)
Mehrnaz Mofakhami, Ioannis Mitliagkas, Gauthier Gidel
Performative Prediction with Neural Networks. AISTATS (2023)
Angela Yuan, Chris Junchi Li, Gauthier Gidel, Michael I. Jordan, Quanquan Gu, Simon S. Du
Optimal Extragradient-Based Algorithms for Stochastic Variational Inequalities with Separable Structure. NeurIPS (2023)
Marco Jiralerspong, Gauthier Gidel
AI4GCC - Track 3: Consumption and the Challenges of Multi-Agent RL. CoRR (2023)
Eduard Gorbunov, Adrien B. Taylor, Samuel Horváth, Gauthier Gidel
Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity. ICML (2023)
Thomas Altstidl, David Dobre, Björn M. Eskofier, Gauthier Gidel, Leo Schwinn
Raising the Bar for Certified Adversarial Robustness with Diffusion Models. CoRR (2023)
Damien Ferbach, Christos Tsirigotis, Gauthier Gidel, Avishek Joey Bose
A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis. ICLR (2023)
Abdurakhmon Sadiev, Marina Danilova, Eduard Gorbunov, Samuel Horváth, Gauthier Gidel, Pavel E. Dvurechensky, Alexander V. Gasnikov, Peter Richtárik
High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance. ICML (2023)
Leo Schwinn, David Dobre, Stephan Günnemann, Gauthier Gidel
Adversarial Attacks and Defenses in Large Language Models: Old and New Threats. CoRR (2023)
Quentin Bertrand, Avishek Joey Bose, Alexandre Duplessis, Marco Jiralerspong, Gauthier Gidel
On the Stability of Iterative Retraining of Generative Models on their own Data. CoRR (2023)
Aleksandr Beznosikov, David Dobre, Gauthier Gidel
Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features. CoRR (2023)
Marco Jiralerspong, Avishek Joey Bose, Gauthier Gidel
Feature Likelihood Score: Evaluating Generalization of Generative Models Using Samples. CoRR (2023)
Eduard Gorbunov, Abdurakhmon Sadiev, Marina Danilova, Samuel Horváth, Gauthier Gidel, Pavel E. Dvurechensky, Alexander V. Gasnikov, Peter Richtárik
High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise. CoRR (2023)
Quentin Bertrand, Wojciech Marian Czarnecki, Gauthier Gidel
On the Limitations of the Elo, Real-World Games are Transitive, not Additive. AISTATS (2023)
Leo Schwinn, David Dobre, Stephan Günnemann, Gauthier Gidel
Adversarial Attacks and Defenses in Large Language Models: Old and New Threats. ICBINB (2023)
Damien Ferbach, Baptiste Goujaud, Gauthier Gidel, Aymeric Dieuleveut
Proving Linear Mode Connectivity of Neural Networks via Optimal Transport. CoRR (2023)
Abdurakhmon Sadiev, Marina Danilova, Eduard Gorbunov, Samuel Horváth, Gauthier Gidel, Pavel E. Dvurechensky, Alexander V. Gasnikov, Peter Richtárik
High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance. CoRR (2023)
Quentin Bertrand, Juan Duque, Emilio Calvano, Gauthier Gidel
Q-learners Can Provably Collude in the Iterated Prisoner's Dilemma. CoRR (2023)
Marco Jiralerspong, Avishek Joey Bose, Ian Gemp, Chongli Qin, Yoram Bachrach, Gauthier Gidel
Feature Likelihood Score: Evaluating the Generalization of Generative Models Using Samples. NeurIPS (2023)
Eduard Gorbunov, Samuel Horváth, Peter Richtárik, Gauthier Gidel
Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top. ICLR (2023)
Eduard Gorbunov, Nicolas Loizou, Gauthier Gidel
Extragradient Method: O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity. AISTATS (2022)
Eduard Gorbunov, Hugo Berard, Gauthier Gidel, Nicolas Loizou
Stochastic Extragradient: General Analysis and Improved Rates. AISTATS (2022)
Marco Jiralerspong, Gauthier Gidel
Generating Diverse Vocal Bursts with StyleGAN2 and MEL-Spectrograms. CoRR (2022)
Samy Jelassi, David Dobre, Arthur Mensch, Yuanzhi Li, Gauthier Gidel
Dissecting adaptive methods in GANs. CoRR (2022)
Eduard Gorbunov, Marina Danilova, David Dobre, Pavel E. Dvurechenskii, Alexander V. Gasnikov, Gauthier Gidel
Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise. NeurIPS (2022)
Chris Junchi Li, Angela Yuan, Gauthier Gidel, Michael I. Jordan
Nesterov Meets Optimism: Rate-Optimal Optimistic-Gradient-Based Method for Stochastic Bilinearly-Coupled Minimax Optimization. CoRR (2022)
Alice Baird, Panagiotis Tzirakis, Gauthier Gidel, Marco Jiralerspong, Eilif B. Muller, Kory W. Mathewson, Björn W. Schuller, Erik Cambria, Dacher Keltner, Alan Cowen
The ICML 2022 Expressive Vocalizations Workshop and Competition: Recognizing, Generating, and Personalizing Vocal Bursts. CoRR (2022)
Andjela Mladenovic, Avishek Joey Bose, Hugo Berard, William L. Hamilton, Simon Lacoste-Julien, Pascal Vincent, Gauthier Gidel
Online Adversarial Attacks. ICLR (2022)
Quentin Bertrand, Quentin Klopfenstein, Pierre-Antoine Bannier, Gauthier Gidel, Mathurin Massias
Beyond L1: Faster and Better Sparse Models with skglm. CoRR (2022)
Leonardo Cunha, Gauthier Gidel, Fabian Pedregosa, Damien Scieur, Courtney Paquette
Only Tails Matter: Average-Case Universality and Robustness in the Convex Regime. CoRR (2022)
Simon S. Du, Gauthier Gidel, Michael I. Jordan, Chris Junchi Li
Optimal Extragradient-Based Bilinearly-Coupled Saddle-Point Optimization. CoRR (2022)
Chris Junchi Li, Yaodong Yu, Nicolas Loizou, Gauthier Gidel, Yi Ma, Nicolas Le Roux, Michael I. Jordan
On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging. AISTATS (2022)
Andjela Mladenovic, Iosif Sakos, Gauthier Gidel, Georgios Piliouras
Generalized Natural Gradient Flows in Hidden Convex-Concave Games and GANs. ICLR (2022)
Junhyung Lyle Kim, Gauthier Gidel, Anastasios Kyrillidis, Fabian Pedregosa
Extragradient with Positive Momentum is Optimal for Games with Cross-Shaped Jacobian Spectrum. CoRR (2022)
Eduard Gorbunov, Marina Danilova, David Dobre, Pavel E. Dvurechensky, Alexander V. Gasnikov, Gauthier Gidel
Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise. CoRR (2022)
Damien Ferbach, Christos Tsirigotis, Gauthier Gidel, Avishek Joey Bose
A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis. CoRR (2022)
Quentin Bertrand, Quentin Klopfenstein, Pierre-Antoine Bannier, Gauthier Gidel, Mathurin Massias
Beyond L1: Faster and Better Sparse Models with skglm. NeurIPS (2022)
Eduard Gorbunov, Samuel Horváth, Peter Richtárik, Gauthier Gidel
Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top. CoRR (2022)
Alice Baird, Panagiotis Tzirakis, Gauthier Gidel, Marco Jiralerspong, Eilif B. Muller, Kory W. Mathewson, Björn W. Schuller, Erik Cambria, Dacher Keltner, Alan Cowen
Proceedings of the ICML 2022 Expressive Vocalizations Workshop and Competition: Recognizing, Generating, and Personalizing Vocal Bursts. CoRR (2022)
Damien Scieur, Gauthier Gidel, Quentin Bertrand, Fabian Pedregosa
The Curse of Unrolling: Rate of Differentiating Through Optimization. NeurIPS (2022)
Leonardo Cunha, Gauthier Gidel, Fabian Pedregosa, Damien Scieur, Courtney Paquette
Only tails matter: Average-Case Universality and Robustness in the Convex Regime. ICML (2022)
Quentin Bertrand, Wojciech Marian Czarnecki, Gauthier Gidel
On the Limitations of Elo: Real-World Games, are Transitive, not Additive. CoRR (2022)
Eduard Gorbunov, Adrien Taylor, Gauthier Gidel
Last-Iterate Convergence of Optimistic Gradient Method for Monotone Variational Inequalities. NeurIPS (2022)
Sébastien Bubeck, Yeshwanth Cherapanamjeri, Gauthier Gidel, Remi Tachet des Combes
A single gradient step finds adversarial examples on random two-layers neural networks. NeurIPS (2021)
M. Mehdi Afsar, Eric Park, Étienne Paquette, Gauthier Gidel, Kory W. Mathewson, Eilif Muller
Generating Diverse Realistic Laughter for Interactive Art. CoRR (2021)
Eduard Gorbunov, Nicolas Loizou, Gauthier Gidel
Extragradient Method: O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity. CoRR (2021)
Marta Garnelo, Wojciech Marian Czarnecki, Siqi Liu, Dhruva Tirumala, Junhyuk Oh, Gauthier Gidel, Hado van Hasselt, David Balduzzi
Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity. CoRR (2021)
Nicolas Loizou, Hugo Berard, Gauthier Gidel, Ioannis Mitliagkas, Simon Lacoste-Julien
Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity. NeurIPS (2021)
Sébastien Bubeck, Yeshwanth Cherapanamjeri, Gauthier Gidel, Rémi Tachet des Combes
A single gradient step finds adversarial examples on random two-layers neural networks. CoRR (2021)
Andjela Mladenovic, Avishek Joey Bose, Hugo Berard, William L. Hamilton, Simon Lacoste-Julien, Pascal Vincent, Gauthier Gidel
Online Adversarial Attacks. CoRR (2021)
Chris Junchi Li, Yaodong Yu, Nicolas Loizou, Gauthier Gidel, Yi Ma, Nicolas Le Roux, Michael I. Jordan
On the Convergence of Stochastic Extragradient for Bilinear Games with Restarted Iteration Averaging. CoRR (2021)
Nicolas Loizou, Hugo Berard, Gauthier Gidel, Ioannis Mitliagkas, Simon Lacoste-Julien
Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity. CoRR (2021)
Marta Garnelo, Wojciech Marian Czarnecki, Siqi Liu, Dhruva Tirumala, Junhyuk Oh, Gauthier Gidel, Hado van Hasselt, David Balduzzi
Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity. AAMAS (2021)
Eduard Gorbunov, Hugo Berard, Gauthier Gidel, Nicolas Loizou
Stochastic Extragradient: General Analysis and Improved Rates. CoRR (2021)
Gauthier Gidel, David Balduzzi, Wojciech Czarnecki, Marta Garnelo, Yoram Bachrach
A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets. AISTATS (2021)
Manuela Girotti, Ioannis Mitliagkas, Gauthier Gidel
Convergence Analysis and Implicit Regularization of Feedback Alignment for Deep Linear Networks. CoRR (2021)
Gauthier Gidel, David Balduzzi, Wojciech Marian Czarnecki, Marta Garnelo, Yoram Bachrach
Minimax Theorem for Latent Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets. CoRR (2020)
Waïss Azizian, Damien Scieur, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel
Accelerating Smooth Games by Manipulating Spectral Shapes. AISTATS (2020)
Hugo Berard, Gauthier Gidel, Amjad Almahairi, Pascal Vincent, Simon Lacoste-Julien
A Closer Look at the Optimization Landscapes of Generative Adversarial Networks. ICLR (2020)
Wojciech M. Czarnecki, Gauthier Gidel, Brendan D. Tracey, Karl Tuyls, Shayegan Omidshafiei, David Balduzzi, Max Jaderberg
Real World Games Look Like Spinning Tops. NeurIPS (2020)
Avishek Joey Bose, Gauthier Gidel, Hugo Berard, Andre Cianflone, Pascal Vincent, Simon Lacoste-Julien, William L. Hamilton
Adversarial Example Games. NeurIPS (2020)
Adam Ibrahim, Waïss Azizian, Gauthier Gidel, Ioannis Mitliagkas
Linear Lower Bounds and Conditioning of Differentiable Games. ICML (2020)
Wojciech Marian Czarnecki, Gauthier Gidel, Brendan D. Tracey, Karl Tuyls, Shayegan Omidshafiei, David Balduzzi, Max Jaderberg
Real World Games Look Like Spinning Tops. CoRR (2020)
Waïss Azizian, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel
A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games. AISTATS (2020)
Waïss Azizian, Damien Scieur, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel
Accelerating Smooth Games by Manipulating Spectral Shapes. CoRR (2020)
James P. Bailey, Gauthier Gidel, Georgios Piliouras
Finite Regret and Cycles with Fixed Step-Size via Alternating Gradient Descent-Ascent. COLT (2020)
Avishek Joey Bose, Gauthier Gidel, Hugo Berard, Andre Cianflone, Pascal Vincent, Simon Lacoste-Julien, William L. Hamilton
Adversarial Example Games. CoRR (2020)
Gauthier Gidel, Reyhane Askari Hemmat, Mohammad Pezeshki, Rémi Le Priol, Gabriel Huang, Simon Lacoste-Julien, Ioannis Mitliagkas
Negative Momentum for Improved Game Dynamics. AISTATS (2019)
Gauthier Gidel, Francis R. Bach, Simon Lacoste-Julien
Implicit Regularization of Discrete Gradient Dynamics in Linear Neural Networks. NeurIPS (2019)
Sharan Vaswani, Aaron Mishkin, Issam H. Laradji, Mark Schmidt, Gauthier Gidel, Simon Lacoste-Julien
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates. NeurIPS (2019)
Giancarlo Kerg, Kyle Goyette, Maximilian Puelma Touzel, Gauthier Gidel, Eugene Vorontsov, Yoshua Bengio, Guillaume Lajoie
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics. CoRR (2019)
Gauthier Gidel, Hugo Berard, Gaëtan Vignoud, Pascal Vincent, Simon Lacoste-Julien
A Variational Inequality Perspective on Generative Adversarial Networks. ICLR (Poster) (2019)
Tatjana Chavdarova, Gauthier Gidel, François Fleuret, Simon Lacoste-Julien
Reducing Noise in GAN Training with Variance Reduced Extragradient. NeurIPS (2019)
Waïss Azizian, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel
A Tight and Unified Analysis of Extragradient for a Whole Spectrum of Differentiable Games. CoRR (2019)
Gauthier Gidel, Francis R. Bach, Simon Lacoste-Julien
Implicit Regularization of Discrete Gradient Dynamics in Deep Linear Neural Networks. CoRR (2019)
James P. Bailey, Gauthier Gidel, Georgios Piliouras
Finite Regret and Cycles with Fixed Step-Size via Alternating Gradient Descent-Ascent. CoRR (2019)
Sharan Vaswani, Aaron Mishkin, Issam H. Laradji, Mark Schmidt, Gauthier Gidel, Simon Lacoste-Julien
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates. CoRR (2019)
Tatjana Chavdarova, Gauthier Gidel, François Fleuret, Simon Lacoste-Julien
Reducing Noise in GAN Training with Variance Reduced Extragradient. CoRR (2019)
Adam Ibrahim, Waïss Azizian, Gauthier Gidel, Ioannis Mitliagkas
Lower Bounds and Conditioning of Differentiable Games. CoRR (2019)
Giancarlo Kerg, Kyle Goyette, Maximilian Puelma Touzel, Gauthier Gidel, Eugene Vorontsov, Yoshua Bengio, Guillaume Lajoie
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics. NeurIPS (2019)
Hugo Berard, Gauthier Gidel, Amjad Almahairi, Pascal Vincent, Simon Lacoste-Julien
A Closer Look at the Optimization Landscapes of Generative Adversarial Networks. CoRR (2019)
Gauthier Gidel, Reyhane Askari Hemmat, Mohammad Pezeshki, Gabriel Huang, Rémi Le Priol, Simon Lacoste-Julien, Ioannis Mitliagkas
Negative Momentum for Improved Game Dynamics. CoRR (2018)
Fabian Pedregosa, Gauthier Gidel
Adaptive Three Operator Splitting. ICML (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Gauthier Gidel