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Papers
Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem
NeurIPS 2024
PAPAL: A Provable PArticle-based Primal-Dual ALgorithm for Mixed Nash Equilibrium
JMLR 2024
Re-thinking Data Availability Attacks Against Deep Neural Networks
CVPR 2024
Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions
NeurIPS 2024
Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities
AISTATS 2024
Weaker MVI Condition: Extragradient Methods with Multi-Step Exploration
ICLR 2024
Accelerated Single-Call Methods for Constrained Min-Max Optimization
ICLR 2023
An Adaptive Policy to Employ Sharpness-Aware Minimization
ICLR 2023
AND: Adversarial Neural Degradation for Learning Blind Image Super-Resolution
NeurIPS 2023
Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity
ICML 2023
Distributionally Robust Recourse Action
ICLR 2023
Enhance Robustness of Machine Learning with Improved Efficiency
AAAI 2023
Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition
JMLR 2023
Federated Adversarial Learning: A Framework with Convergence Analysis
ICML 2023
Forward Super-Resolution: How Can GANs Learn Hierarchical Generative Models for Real-World Distributions
ICLR 2023
Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective
CVPR 2023
Payoff-based Learning with Matrix Multiplicative Weights in Quantum Games
NeurIPS 2023
Responsible AI (RAI) Games and Ensembles
NeurIPS 2023
STay-ON-the-Ridge: Guaranteed Convergence to Local Minimax Equilibrium in Nonconvex-Nonconcave Games
COLT 2023
Stochastic Differentially Private and Fair Learning
ICLR 2023
Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods
AISTATS 2023
Towards convergence to Nash equilibria in two-team zero-sum games
ICLR 2023
A Convergent and Dimension-Independent Min-Max Optimization Algorithm
ICML 2022
Adversarial Reweighting for Speaker Verification Fairness
Interspeech 2022
Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm
NeurIPS 2022