Gauthier Gidel

Self-Play $Q$-Learners Can Provably Collude in the Iterated Prisoner’s Dilemma ICML 2025 Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning ICLR 2025 Solving hidden monotone variational inequalities with surrogate losses ICLR 2025 Advantage Alignment Algorithms ICLR 2025 Performative Prediction on Games and Mechanism Design AISTATS 2025 A Persuasive Approach to Combating Misinformation ICML 2024 High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise ICML 2024 Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features ICML 2024 Synaptic Weight Distributions Depend on the Geometry of Plasticity ICLR 2024 Efficient Adversarial Training in LLMs with Continuous Attacks NIPS 2024 Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space NIPS 2024 On the Scalability of Certified Adversarial Robustness with Generated Data NIPS 2024 Proving Linear Mode Connectivity of Neural Networks via Optimal Transport AISTATS 2024 Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences NIPS 2024 Expected flow networks in stochastic environments and two-player zero-sum games ICLR 2024 On the Stability of Iterative Retraining of Generative Models on their own Data ICLR 2024 Iterated Denoising Energy Matching for Sampling from Boltzmann Densities ICML 2024 Stochastic Frank-Wolfe: Unified Analysis and Zoo of Special Cases AISTATS 2024 Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization ICML 2023 Performative Prediction with Neural Networks AISTATS 2023 A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis ICLR 2023 Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top ICLR 2023 Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples NIPS 2023 Optimal Extragradient-Based Algorithms for Stochastic Variational Inequalities with Separable Structure NIPS 2023 Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity ICML 2023 High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance ICML 2023 On the Limitations of the Elo, Real-World Games are Transitive, not Additive AISTATS 2023 Generalized Natural Gradient Flows in Hidden Convex-Concave Games and GANs ICLR 2022 The Curse of Unrolling: Rate of Differentiating Through Optimization NIPS 2022 Last-Iterate Convergence of Optimistic Gradient Method for Monotone Variational Inequalities NIPS 2022 Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise NIPS 2022 Beyond L1: Faster and Better Sparse Models with skglm NIPS 2022 Extragradient Method: O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity AISTATS 2022 Stochastic Extragradient: General Analysis and Improved Rates AISTATS 2022 On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging AISTATS 2022 Online Adversarial Attacks ICLR 2022 Only tails matter: Average-Case Universality and Robustness in the Convex Regime ICML 2022 A single gradient step finds adversarial examples on random two-layers neural networks NIPS 2021 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 Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity NIPS 2021 Accelerating Smooth Games by Manipulating Spectral Shapes AISTATS 2020 A Closer Look at the Optimization Landscapes of Generative Adversarial Networks ICLR 2020 Finite Regret and Cycles with Fixed Step-Size via Alternating Gradient Descent-Ascent COLT 2020 A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games AISTATS 2020 Linear Lower Bounds and Conditioning of Differentiable Games ICML 2020 Real World Games Look Like Spinning Tops NIPS 2020 Adversarial Example Games NIPS 2020 Implicit Regularization of Discrete Gradient Dynamics in Linear Neural Networks NIPS 2019 Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates NIPS 2019 Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics NIPS 2019 Reducing Noise in GAN Training with Variance Reduced Extragradient NIPS 2019 Negative Momentum for Improved Game Dynamics AISTATS 2019 A Variational Inequality Perspective on Generative Adversarial Networks ICLR 2019 Frank-Wolfe Splitting via Augmented Lagrangian Method AISTATS 2018 Adaptive Three Operator Splitting ICML 2018 Frank-Wolfe Algorithms for Saddle Point Problems AISTATS 2017