Gidel, Gauthier

72 publications

ICLRW 2025 A Generative Approach to LLM Harmfulness Detection with Red Flag Tokens Sophie Xhonneux, David Dobre, Mehrnaz Mofakhami, Leo Schwinn, Gauthier Gidel
ICLR 2025 Advantage Alignment Algorithms Juan Agustin Duque, Milad Aghajohari, Tim Cooijmans, Razvan Ciuca, Tianyu Zhang, Gauthier Gidel, Aaron Courville
NeurIPS 2025 Dimension-Adapted Momentum Outscales SGD Damien Ferbach, Katie Everett, Gauthier Gidel, Elliot Paquette, Courtney Paquette
ICLR 2025 Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain
AISTATS 2025 Performative Prediction on Games and Mechanism Design António Góis, Mehrnaz Mofakhami, Fernando P. Santos, Gauthier Gidel, Simon Lacoste-Julien
ICLRW 2025 Performative Prediction on Games and Mechanism Design António Góis, Mehrnaz Mofakhami, Fernando P. Santos, Gauthier Gidel, Simon Lacoste-Julien
ICML 2025 Self-Play $q$-Learners Can Provably Collude in the Iterated Prisoner’s Dilemma Quentin Bertrand, Juan Agustin Duque, Emilio Calvano, Gauthier Gidel
ICLR 2025 Solving Hidden Monotone Variational Inequalities with Surrogate Losses Ryan D'Orazio, Danilo Vucetic, Zichu Liu, Junhyung Lyle Kim, Ioannis Mitliagkas, Gauthier Gidel
NeurIPS 2025 Tight Lower Bounds and Improved Convergence in Performative Prediction Pedram Khorsandi, Rushil Gupta, Mehrnaz Mofakhami, Simon Lacoste-Julien, Gauthier Gidel
ICML 2024 A Persuasive Approach to Combating Misinformation Safwan Hossain, Andjela Mladenovic, Yiling Chen, Gauthier Gidel
NeurIPS 2024 Efficient Adversarial Training in LLMs with Continuous Attacks Sophie Xhonneux, Alessandro Sordoni, Stephan Günnemann, Gauthier Gidel, Leo Schwinn
ICLR 2024 Expected Flow Networks in Stochastic Environments and Two-Player Zero-Sum Games Marco Jiralerspong, Bilun Sun, Danilo Vucetic, Tianyu Zhang, Yoshua Bengio, Gauthier Gidel, Nikolay Malkin
NeurIPSW 2024 General Causal Imputation via Synthetic Interventions Marco Jiralerspong, Thomas Jiralerspong, Vedant Shah, Dhanya Sridhar, Gauthier Gidel
ICML 2024 High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise Eduard Gorbunov, Abdurakhmon Sadiev, Marina Danilova, Samuel Horváth, Gauthier Gidel, Pavel Dvurechensky, Alexander Gasnikov, Peter Richtárik
ICMLW 2024 In-Context Learning, Can It Break Safety? Sophie Xhonneux, David Dobre, Michael Noukhovitch, Jian Tang, Gauthier Gidel, Dhanya Sridhar
ICML 2024 Iterated Denoising Energy Matching for Sampling from Boltzmann Densities Tara Akhound-Sadegh, Jarrid Rector-Brooks, Joey Bose, Sarthak Mittal, Pablo Lemos, Cheng-Hao Liu, Marcin Sendera, Siamak Ravanbakhsh, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Alexander Tong
NeurIPSW 2024 Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain
NeurIPS 2024 On the Scalability of Certified Adversarial Robustness with Generated Data Thomas Altstidl, David Dobre, Arthur Kosmala, Björn Eskofier, Gauthier Gidel, Leo Schwinn
ICLR 2024 On the Stability of Iterative Retraining of Generative Models on Their Own Data Quentin Bertrand, Joey Bose, Alexandre Duplessis, Marco Jiralerspong, Gauthier Gidel
ICMLW 2024 Performative Prediction on Games and Mechanism Design António Góis, Mehrnaz Mofakhami, Fernando P. Santos, Simon Lacoste-Julien, Gauthier Gidel
AISTATS 2024 Proving Linear Mode Connectivity of Neural Networks via Optimal Transport Damien Ferbach, Baptiste Goujaud, Gauthier Gidel, Aymeric Dieuleveut
ICML 2024 Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features Aleksandr Beznosikov, David Dobre, Gauthier Gidel
NeurIPS 2024 Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences Damien Ferbach, Quentin Bertrand, Avishek Joey Bose, Gauthier Gidel
NeurIPS 2024 Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs Through the Embedding Space Leo Schwinn, David Dobre, Sophie Xhonneux, Gauthier Gidel, Stephan Günnemann
NeurIPSW 2024 Solving Hidden Monotone Variational Inequalities with Surrogate Losses Ryan D'Orazio, Danilo Vucetic, Zichu Liu, Junhyung Lyle Kim, Ioannis Mitliagkas, Gauthier Gidel
AISTATS 2024 Stochastic Frank-Wolfe: Unified Analysis and Zoo of Special Cases Ruslan Nazykov, Aleksandr Shestakov, Vladimir Solodkin, Aleksandr Beznosikov, Gauthier Gidel, Alexander Gasnikov
ICLR 2024 Synaptic Weight Distributions Depend on the Geometry of Plasticity Roman Pogodin, Jonathan Cornford, Arna Ghosh, Gauthier Gidel, Guillaume Lajoie, Blake Aaron Richards
NeurIPSW 2024 Tight Lower Bounds and Improved Convergence in Performative Prediction Pedram Khorsandi, Rushil Gupta, Mehrnaz Mofakhami, Simon Lacoste-Julien, Gauthier Gidel
TMLR 2024 When Is Momentum Extragradient Optimal? a Polynomial-Based Analysis Junhyung Lyle Kim, Gauthier Gidel, Anastasios Kyrillidis, Fabian Pedregosa
ICLR 2023 A General Framework for Proving the Equivariant Strong Lottery Ticket Hypothesis Damien Ferbach, Christos Tsirigotis, Gauthier Gidel, Joey Bose
NeurIPSW 2023 Adversarial Attacks and Defenses in Large Language Models: Old and New Threats Leo Schwinn, David Dobre, Stephan Günnemann, Gauthier Gidel
ICML 2023 Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: The Case of Negative Comonotonicity Eduard Gorbunov, Adrien Taylor, Samuel Horváth, Gauthier Gidel
NeurIPS 2023 Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples Marco Jiralerspong, Joey Bose, Ian Gemp, Chongli Qin, Yoram Bachrach, Gauthier Gidel
ICML 2023 High-Probability Bounds for Stochastic Optimization and Variational Inequalities: The Case of Unbounded Variance Abdurakhmon Sadiev, Marina Danilova, Eduard Gorbunov, Samuel Horváth, Gauthier Gidel, Pavel Dvurechensky, Alexander Gasnikov, Peter Richtárik
ICML 2023 Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization Chris Junchi Li, Huizhuo Yuan, Gauthier Gidel, Quanquan Gu, Michael Jordan
ICMLW 2023 Omega: Optimistic EMA Gradients Juan Ramirez, Rohan Sukumaran, Quentin Bertrand, Gauthier Gidel
AISTATS 2023 On the Limitations of the Elo, Real-World Games Are Transitive, Not Additive Quentin Bertrand, Wojciech Marian Czarnecki, Gauthier Gidel
NeurIPS 2023 Optimal Extragradient-Based Algorithms for Stochastic Variational Inequalities with Separable Structure Angela Yuan, Chris Junchi Li, Gauthier Gidel, Michael I. Jordan, Quanquan Gu, Simon S Du
AISTATS 2023 Performative Prediction with Neural Networks Mehrnaz Mofakhami, Ioannis Mitliagkas, Gauthier Gidel
ICLR 2023 Variance Reduction Is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top Eduard Gorbunov, Samuel Horváth, Peter Richtárik, Gauthier Gidel
AISTATS 2022 Extragradient Method: O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections with Cocoercivity Eduard Gorbunov, Nicolas Loizou, Gauthier Gidel
AISTATS 2022 On the Convergence of Stochastic Extragradient for Bilinear Games Using Restarted Iteration Averaging Chris Junchi Li, Yaodong Yu, Nicolas Loizou, Gauthier Gidel, Yi Ma, Nicolas Le Roux, Michael Jordan
AISTATS 2022 Stochastic Extragradient: General Analysis and Improved Rates Eduard Gorbunov, Hugo Berard, Gauthier Gidel, Nicolas Loizou
NeurIPS 2022 Beyond L1: Faster and Better Sparse Models with Skglm Quentin Bertrand, Quentin Klopfenstein, Pierre-Antoine Bannier, Gauthier Gidel, Mathurin Massias
NeurIPS 2022 Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise Eduard Gorbunov, Marina Danilova, David Dobre, Pavel Dvurechenskii, Alexander Gasnikov, Gauthier Gidel
ICLR 2022 Generalized Natural Gradient Flows in Hidden Convex-Concave Games and GANs Andjela Mladenovic, Iosif Sakos, Gauthier Gidel, Georgios Piliouras
NeurIPS 2022 Last-Iterate Convergence of Optimistic Gradient Method for Monotone Variational Inequalities Eduard Gorbunov, Adrien Taylor, Gauthier Gidel
NeurIPSW 2022 Momentum Extragradient Is Optimal for Games with Cross-Shaped Spectrum Junhyung Lyle Kim, Gauthier Gidel, Anastasios Kyrillidis, Fabian Pedregosa
NeurIPSW 2022 Nesterov Meets Optimism: Rate-Optimal Optimistic-Gradient-Based Method for Stochastic Bilinearly-Coupled Minimax Optimization Chris Junchi Li, Angela Yuan, Gauthier Gidel, Michael Jordan
ICLR 2022 Online Adversarial Attacks Andjela Mladenovic, Joey Bose, Hugo Berard, William L. Hamilton, Simon Lacoste-Julien, Pascal Vincent, Gauthier Gidel
ICML 2022 Only Tails Matter: Average-Case Universality and Robustness in the Convex Regime Leonardo Cunha, Gauthier Gidel, Fabian Pedregosa, Damien Scieur, Courtney Paquette
NeurIPSW 2022 Performative Prediction with Neural Networks Mehrnaz Mofakhami, Ioannis Mitliagkas, Gauthier Gidel
NeurIPS 2022 The Curse of Unrolling: Rate of Differentiating Through Optimization Damien Scieur, Gauthier Gidel, Quentin Bertrand, Fabian Pedregosa
AISTATS 2021 A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying About Mixed-Nash and Love Neural Nets Gauthier Gidel, David Balduzzi, Wojciech Czarnecki, Marta Garnelo, Yoram Bachrach
NeurIPS 2021 A Single Gradient Step Finds Adversarial Examples on Random Two-Layers Neural Networks Sebastien Bubeck, Yeshwanth Cherapanamjeri, Gauthier Gidel, Remi Tachet des Combes
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
AISTATS 2020 A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games Waïss Azizian, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel
AISTATS 2020 Accelerating Smooth Games by Manipulating Spectral Shapes Waïss Azizian, Damien Scieur, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel
NeurIPS 2020 Adversarial Example Games Joey Bose, Gauthier Gidel, Hugo Berard, Andre Cianflone, Pascal Vincent, Simon Lacoste-Julien, Will Hamilton
COLT 2020 Finite Regret and Cycles with Fixed Step-Size via Alternating Gradient Descent-Ascent James P. Bailey, Gauthier Gidel, Georgios Piliouras
ICML 2020 Linear Lower Bounds and Conditioning of Differentiable Games Adam Ibrahim, Waı̈ss Azizian, Gauthier Gidel, Ioannis Mitliagkas
NeurIPS 2020 Real World Games Look like Spinning Tops Wojciech M. Czarnecki, Gauthier Gidel, Brendan Tracey, Karl Tuyls, Shayegan Omidshafiei, David Balduzzi, Max Jaderberg
ICLR 2019 A Variational Inequality Perspective on Generative Adversarial Networks Gauthier Gidel, Hugo Berard, Gaëtan Vignoud, Pascal Vincent, Simon Lacoste-Julien
NeurIPS 2019 Implicit Regularization of Discrete Gradient Dynamics in Linear Neural Networks Gauthier Gidel, Francis Bach, Simon Lacoste-Julien
AISTATS 2019 Negative Momentum for Improved Game Dynamics Gauthier Gidel, Reyhane Askari Hemmat, Mohammad Pezeshki, Rémi Le Priol, Gabriel Huang, Simon Lacoste-Julien, Ioannis Mitliagkas
NeurIPS 2019 Non-Normal Recurrent Neural Network (nnRNN): Learning Long Time Dependencies While Improving Expressivity with Transient Dynamics Giancarlo Kerg, Kyle Goyette, Maximilian Puelma Touzel, Gauthier Gidel, Eugene Vorontsov, Yoshua Bengio, Guillaume Lajoie
NeurIPS 2019 Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates Sharan Vaswani, Aaron Mishkin, Issam Laradji, Mark Schmidt, Gauthier Gidel, Simon Lacoste-Julien
NeurIPS 2019 Reducing Noise in GAN Training with Variance Reduced Extragradient Tatjana Chavdarova, Gauthier Gidel, François Fleuret, Simon Lacoste-Julien
ICML 2018 Adaptive Three Operator Splitting Fabian Pedregosa, Gauthier Gidel
AISTATS 2018 Frank-Wolfe Splitting via Augmented Lagrangian Method Gauthier Gidel, Fabian Pedregosa, Simon Lacoste-Julien
AISTATS 2017 Frank-Wolfe Algorithms for Saddle Point Problems Gauthier Gidel, Tony Jebara, Simon Lacoste-Julien