ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2302.11962
  4. Cited By
Unified Convergence Theory of Stochastic and Variance-Reduced Cubic
  Newton Methods

Unified Convergence Theory of Stochastic and Variance-Reduced Cubic Newton Methods

23 February 2023
El Mahdi Chayti
N. Doikov
Martin Jaggi
    ODL
ArXivPDFHTML

Papers citing "Unified Convergence Theory of Stochastic and Variance-Reduced Cubic Newton Methods"

4 / 4 papers shown
Title
Improving Stochastic Cubic Newton with Momentum
Improving Stochastic Cubic Newton with Momentum
El Mahdi Chayti
N. Doikov
Martin Jaggi
ODL
21
0
0
25 Oct 2024
Second-Order Min-Max Optimization with Lazy Hessians
Second-Order Min-Max Optimization with Lazy Hessians
Lesi Chen
Chengchang Liu
Jingzhao Zhang
36
1
0
12 Oct 2024
A Homogenization Approach for Gradient-Dominated Stochastic Optimization
A Homogenization Approach for Gradient-Dominated Stochastic Optimization
Jiyuan Tan
Chenyu Xue
Chuwen Zhang
Qi Deng
Dongdong Ge
Yinyu Ye
15
2
0
21 Aug 2023
Stochastic Second-Order Methods Improve Best-Known Sample Complexity of
  SGD for Gradient-Dominated Function
Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Function
Saeed Masiha
Saber Salehkaleybar
Niao He
Negar Kiyavash
Patrick Thiran
79
19
0
25 May 2022
1