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Catalyst Acceleration for Gradient-Based Non-Convex Optimization

Catalyst Acceleration for Gradient-Based Non-Convex Optimization

31 March 2017
Courtney Paquette
Hongzhou Lin
Dmitriy Drusvyatskiy
Julien Mairal
Zaïd Harchaoui
    ODL
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Papers citing "Catalyst Acceleration for Gradient-Based Non-Convex Optimization"

5 / 5 papers shown
Title
RECAPP: Crafting a More Efficient Catalyst for Convex Optimization
RECAPP: Crafting a More Efficient Catalyst for Convex Optimization
Y. Carmon
A. Jambulapati
Yujia Jin
Aaron Sidford
58
11
0
17 Jun 2022
On Acceleration of Gradient-Based Empirical Risk Minimization using
  Local Polynomial Regression
On Acceleration of Gradient-Based Empirical Risk Minimization using Local Polynomial Regression
Ekaterina Trimbach
Edward Duc Hien Nguyen
César A. Uribe
26
1
0
16 Apr 2022
Stochastic Nested Variance Reduction for Nonconvex Optimization
Stochastic Nested Variance Reduction for Nonconvex Optimization
Dongruo Zhou
Pan Xu
Quanquan Gu
25
146
0
20 Jun 2018
A Proximal Stochastic Gradient Method with Progressive Variance
  Reduction
A Proximal Stochastic Gradient Method with Progressive Variance Reduction
Lin Xiao
Tong Zhang
ODL
93
737
0
19 Mar 2014
Incremental Majorization-Minimization Optimization with Application to
  Large-Scale Machine Learning
Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning
Julien Mairal
79
317
0
18 Feb 2014
1