Optimal Growth Schedules for Batch Size and Learning Rate in SGD that Reduce SFO Complexity

Ähnliche Einträge

• Adaptive Batch Size and Learning Rate Scheduler for Stochastic Gradient Descent Based on Minimization of Stochastic First-order Oracle Complexity
  von: Umeda, Hikaru, et al.
  Veröffentlicht: (2025)
• Increasing Both Batch Size and Learning Rate Accelerates Stochastic Gradient Descent
  von: Umeda, Hikaru, et al.
  Veröffentlicht: (2024)
• Convergence of Sharpness-Aware Minimization Algorithms using Increasing Batch Size and Decaying Learning Rate
  von: Harada, Hinata, et al.
  Veröffentlicht: (2024)
• Faster Convergence of Riemannian Stochastic Gradient Descent with Increasing Batch Size
  von: Oowada, Kanata, et al.
  Veröffentlicht: (2025)
• Both Asymptotic and Non-Asymptotic Convergence of Quasi-Hyperbolic Momentum using Increasing Batch Size
  von: Imaizumi, Kento, et al.
  Veröffentlicht: (2025)