conftrace_

min-max optimization

80 papers

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Also known as

MMO

Co-occurring keywords

adversarial training (1262) adversarial robustness (1341) convergence rate (607) game theory (854) variational inequality (48) stochastic optimization (1060) generative adversarial network (1944) convex optimization (1321) non-convex optimization (547) extragradient method (17)

Papers

Multi-distribution Learning: From Worst-Case Optimality to Lexicographic Min-Max Optimality ALT 2026
Hidden Ghost Hand: Unveiling Backdoor Vulnerabilities in MLLM-Powered Mobile GUI Agents EMNLP 2025
Towards Better Robustness Against Natural Corruptions in Document Tampering Localization AAAI 2025
3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation ICCV 2025
Adversarial Training for Probabilistic Robustness ICCV 2025
Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models AAAI 2025
Improving the Fairness of the Min-Max Game in GANs Training WACV 2024
A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs NIPS 2024
Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem NIPS 2024
Re-thinking Data Availability Attacks Against Deep Neural Networks CVPR 2024
Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities AISTATS 2024
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration AAAI 2024
Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions NIPS 2024
Blurry Video Compression: A Trade-Off Between Visual Enhancement and Data Compression WACV 2024
PAPAL: A Provable PArticle-based Primal-Dual ALgorithm for Mixed Nash Equilibrium JMLR 2024
Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training CVPR 2024
Federated Adversarial Learning: A Framework with Convergence Analysis ICML 2023
STay-ON-the-Ridge: Guaranteed Convergence to Local Minimax Equilibrium in Nonconvex-Nonconcave Games COLT 2023
Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods AISTATS 2023
Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective CVPR 2023
Payoff-based Learning with Matrix Multiplicative Weights in Quantum Games NIPS 2023
Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity ICML 2023
Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition JMLR 2023
Enhance Robustness of Machine Learning with Improved Efficiency AAAI 2023
Responsible AI (RAI) Games and Ensembles NIPS 2023