Latest papers

CardsList

10 papers2 papers in the last four weeks, down 33% on the four weeks before. 0.0% of all new papers.

  1. Polyak-Type Extragradient Methods for Monotone Root-Finding Problems

    Sep 22, 2026TaeHo Yoon, Sayantan Choudhury, Ezra Greenberg +1Stochastic ApproximationExtragradient Methods

  2. Single-Loop Stochastic Projected Damped Extragradient Methods for Nonconvex--(Strongly) Concave Minimax Optimization

    Sep 18, 2026Huiling Zhang, Minhao Zhang, Zi Xu +1Min-Max OptimizationStochastic Optimization

  3. Near-Optimal Single-Loop Predictor--Corrector Extragradient Method for Strongly Convex--Strongly Concave Minimax Optimization

    Sep 17, 2026Minhao Zhang, Zi XuLast-Iterate ConvergenceMin-Max Optimization

  4. Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning

    Jul 7, 2026Yao Fu, Chunxia Zhang, Junmin Liu +3Neural Network GeneralizationSharpness-Aware Minimization

  5. Accelerating Min-Max Optimization via Power-Law Stepsizes

    Jun 1, 2026Yue Wu, Weiqiang Zheng, Yang Cai +1Learning Rate SchedulingLast-Iterate Convergence

  6. Parameter-Free Non-Ergodic Extragradient Algorithms for Solving Monotone Variational Inequalities

    Apr 9, 2026Lingqing Shen, Fatma Kılınç-KarzanExtragradient MethodsLast-Iterate Convergence

  7. RAMPAGE: RAndomized Mid-Point for debiAsed Gradient Extrapolation

    Mar 23, 2026Zhankun Luo, M. Berk Sahin, Antesh Upadhyay +2Extragradient MethodsStochastic Optimization Convergence