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Stochastic Optimization for Non-convex Problem with Inexact Hessian Matrix, Gradient, and Function.

Liu LiuXuanqing LiuCho-Jui HsiehDacheng Tao
Published in: CoRR (2023)
Keyphrases
  • stochastic optimization
  • hessian matrix
  • multistage
  • step size
  • gaussian derivatives
  • feature extraction
  • cost function
  • reinforcement learning
  • feature vectors
  • convex optimization