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Provable Bregman-divergence based Methods for Nonconvex and
  Non-Lipschitz Problems

Provable Bregman-divergence based Methods for Nonconvex and Non-Lipschitz Problems

22 April 2019
Qiuwei Li
Zhihui Zhu
Gongguo Tang
M. Wakin
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Papers citing "Provable Bregman-divergence based Methods for Nonconvex and Non-Lipschitz Problems"

3 / 3 papers shown
Title
Central Limit Theorem for Two-Timescale Stochastic Approximation with
  Markovian Noise: Theory and Applications
Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and Applications
Jie Hu
Vishwaraj Doshi
Do Young Eun
38
4
0
17 Jan 2024
Global Convergence of Model Function Based Bregman Proximal Minimization
  Algorithms
Global Convergence of Model Function Based Bregman Proximal Minimization Algorithms
Mahesh Chandra Mukkamala
M. Fadili
Peter Ochs
22
8
0
24 Dec 2020
Bregman Proximal Framework for Deep Linear Neural Networks
Bregman Proximal Framework for Deep Linear Neural Networks
Mahesh Chandra Mukkamala
Felix Westerkamp
Emanuel Laude
Daniel Cremers
Peter Ochs
21
7
0
08 Oct 2019
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