← Authors

Gauthier Gidel

56 papers · 2017–2025 · 5 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (5) πŸƒ Academic Marathon (8) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (7) 🀝 Dynamic Duo (14) πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (25) πŸ† Keyword Champion (2) ⚑ Prolific Year (10) πŸ—ƒοΈ Keyword Collector (156) πŸ”₯ Unstoppable (9) πŸ’Ž Century Club (56)

Conferences

NIPS (18) AISTATS (14) ICLR (12) ICML (11) COLT (1)

Top co-authors

Simon Lacoste-Julien (14) Eduard Gorbunov (8) Ioannis Mitliagkas (7) Hugo Berard (6) Quentin Bertrand (6) Joey Bose (6) David Dobre (5) Samuel HorvΓ‘th (4) Pascal Vincent (4) Alexander Gasnikov (4)

Keywords

variational inequality (8) convergence rate (7) gradient descent (7) stochastic optimization (5) game theory (5) neural network (4) extragradient method (4) stochastic gradient descent (4) convex optimization (4) non-convex optimization (3) stochastic extragradient (3) bilinear game (3) nash equilibrium (3) adversarial training (3) constrained optimization (3) min-max optimization (3) frank-wolfe algorithm (3) generative model (2) saddle-point problems (2) consensus optimization (2)

Papers

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