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

Convex-Concave Min-Max Stackelberg Games NIPS 2021
Efficient Methods for Structured Nonconvex-Nonconcave Min-Max Optimization AISTATS 2021
Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent NIPS 2021
Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity ICML 2021
Attribute-Guided Adversarial Training for Robustness to Natural Perturbations AAAI 2021
Last-Iterate Convergence Rates for Min-Max Optimization: Convergence of Hamiltonian Gradient Descent and Consensus Optimization ALT 2021
Adversarial Attack Generation Empowered by Min-Max Optimization NIPS 2021
The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets ICML 2021
Towards a Better Global Loss Landscape of GANs NIPS 2020
Halpern Iteration for Near-Optimal and Parameter-Free Monotone Inclusion and Strong Solutions to Variational Inequalities COLT 2020
Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks ICML 2020
A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems NIPS 2020
Subsidy Allocations in the Presence of Income Shocks AAAI 2020
Universal Adversarial Training AAAI 2020
Improving Robustness of Deep-Learning-Based Image Reconstruction ICML 2020
MinMax Methods for Optimal Transport and Beyond: Regularization, Approximation and Numerics NIPS 2020
A Decentralized Parallel Algorithm for Training Generative Adversarial Nets NIPS 2020
Task-Robust Model-Agnostic Meta-Learning NIPS 2020
Optimal Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization NIPS 2020
Robust Deep Learning as Optimal Control: Insights and Convergence Guarantees L4DC 2020
Linear Lower Bounds and Conditioning of Differentiable Games ICML 2020
Doubly-Competitive Distribution Estimation ICML 2019
Provably robust boosted decision stumps and trees against adversarial attacks NIPS 2019
Min-Max Statistical Alignment for Transfer Learning CVPR 2019
On the Convergence and Robustness of Adversarial Training ICML 2019