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Implicit Regularization of Bregman Proximal Point Algorithm and Mirror
  Descent on Separable Data
v1v2v3v4v5 (latest)

Implicit Regularization of Bregman Proximal Point Algorithm and Mirror Descent on Separable Data

15 August 2021
Yan Li
Caleb Ju
Ethan X. Fang
T. Zhao
ArXiv (abs)PDFHTML

Papers citing "Implicit Regularization of Bregman Proximal Point Algorithm and Mirror Descent on Separable Data"

4 / 4 papers shown
Title
Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning
Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning
Kuan-Fu Ding
Jingyang Li
Kim-Chuan Toh
124
8
0
26 Jun 2023
A Unified Approach to Controlling Implicit Regularization via Mirror
  Descent
A Unified Approach to Controlling Implicit Regularization via Mirror Descent
Haoyuan Sun
Khashayar Gatmiry
Kwangjun Ahn
Navid Azizan
AI4CE
74
13
0
24 Jun 2023
Mirror Descent Maximizes Generalized Margin and Can Be Implemented
  Efficiently
Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently
Haoyuan Sun
Kwangjun Ahn
Christos Thrampoulidis
Navid Azizan
OOD
56
22
0
25 May 2022
Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect
Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect
Yuqing Wang
Minshuo Chen
T. Zhao
Molei Tao
AI4CE
138
42
0
07 Oct 2021
1