A Mean-Field Analysis of Neural Stochastic Gradient Descent-Ascent for Functional Minimax Optimization

Documenti analoghi

• Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization
  di: Shen, Wei, et al.
  Pubblicazione: (2023)
• Decentralized Stochastic Gradient Descent Ascent for Finite-Sum Minimax Problems
  di: Gao, Hongchang
  Pubblicazione: (2022)
• Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization
  di: Lin, Tianyi, et al.
  Pubblicazione: (2024)
• On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems
  di: Lin, Tianyi, et al.
  Pubblicazione: (2019)
• Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic
  di: Zhang, Yufeng, et al.
  Pubblicazione: (2021)