Bias-Variance Trade-off for Clipped Stochastic First-Order Methods: From Bounded Variance to Infinite Mean

Documenti analoghi

• A Proximal Stochastic Gradient Method with Adaptive Step Size and Variance Reduction for Convex Composite Optimization
  di: Fang, Changjie, et al.
  Pubblicazione: (2025)
• Level Constrained First Order Methods for Function Constrained Optimization
  di: Boob, Digvijay, et al.
  Pubblicazione: (2022)
• Variational Poisson Denoising via Augmented Lagrangian Methods
  di: Kanzow, Christian, et al.
  Pubblicazione: (2023)
• On the resolution of $\ell_1$-norm minimization via a two-metric adaptive projection method
  di: Wu, Hanju, et al.
  Pubblicazione: (2025)
• First- and Second-Order Stochastic Adaptive Regularization with Cubics: High Probability Iteration and Sample Complexity
  di: Scheinberg, Katya, et al.
  Pubblicazione: (2023)