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Natasha: Faster Non-Convex Stochastic Optimization Via Strongly
  Non-Convex Parameter

Natasha: Faster Non-Convex Stochastic Optimization Via Strongly Non-Convex Parameter

2 February 2017
Zeyuan Allen-Zhu
ArXivPDFHTML

Papers citing "Natasha: Faster Non-Convex Stochastic Optimization Via Strongly Non-Convex Parameter"

15 / 15 papers shown
Title
Damped Proximal Augmented Lagrangian Method for weakly-Convex Problems
  with Convex Constraints
Damped Proximal Augmented Lagrangian Method for weakly-Convex Problems with Convex Constraints
Hari Dahal
Wei Liu
Yangyang Xu
47
5
0
15 Nov 2023
Zeroth-Order Alternating Gradient Descent Ascent Algorithms for a Class
  of Nonconvex-Nonconcave Minimax Problems
Zeroth-Order Alternating Gradient Descent Ascent Algorithms for a Class of Nonconvex-Nonconcave Minimax Problems
Zi Xu
Ziqi Wang
Junlin Wang
Y. Dai
21
11
0
24 Nov 2022
Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum
  Minimization
Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization
Ali Kavis
Stratis Skoulakis
Kimon Antonakopoulos
L. Dadi
V. Cevher
24
15
0
03 Nov 2022
Towards Communication-efficient Vertical Federated Learning Training via
  Cache-enabled Local Updates
Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates
Fangcheng Fu
Xupeng Miao
Jiawei Jiang
Huanran Xue
Bin Cui
FedML
32
21
0
29 Jul 2022
A General Family of Stochastic Proximal Gradient Methods for Deep
  Learning
A General Family of Stochastic Proximal Gradient Methods for Deep Learning
Jihun Yun
A. Lozano
Eunho Yang
20
12
0
15 Jul 2020
Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk
  Minimization
Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization
Kenji Kawaguchi
Haihao Lu
ODL
22
62
0
09 Jul 2019
Stochastic Optimization for DC Functions and Non-smooth Non-convex
  Regularizers with Non-asymptotic Convergence
Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence
Yi Tian Xu
Qi Qi
Qihang Lin
R. L. Jin
Tianbao Yang
37
41
0
28 Nov 2018
Continuous-time Models for Stochastic Optimization Algorithms
Continuous-time Models for Stochastic Optimization Algorithms
Antonio Orvieto
Aurelien Lucchi
19
31
0
05 Oct 2018
Weakly-Convex Concave Min-Max Optimization: Provable Algorithms and
  Applications in Machine Learning
Weakly-Convex Concave Min-Max Optimization: Provable Algorithms and Applications in Machine Learning
Hassan Rafique
Mingrui Liu
Qihang Lin
Tianbao Yang
15
107
0
04 Oct 2018
AdaGrad stepsizes: Sharp convergence over nonconvex landscapes
AdaGrad stepsizes: Sharp convergence over nonconvex landscapes
Rachel A. Ward
Xiaoxia Wu
Léon Bottou
ODL
27
359
0
05 Jun 2018
signSGD: Compressed Optimisation for Non-Convex Problems
signSGD: Compressed Optimisation for Non-Convex Problems
Jeremy Bernstein
Yu-Xiang Wang
Kamyar Azizzadenesheli
Anima Anandkumar
FedML
ODL
44
1,020
0
13 Feb 2018
Katyusha X: Practical Momentum Method for Stochastic Sum-of-Nonconvex
  Optimization
Katyusha X: Practical Momentum Method for Stochastic Sum-of-Nonconvex Optimization
Zeyuan Allen-Zhu
ODL
44
52
0
12 Feb 2018
Stochastic Nonconvex Optimization with Large Minibatches
Stochastic Nonconvex Optimization with Large Minibatches
Weiran Wang
Nathan Srebro
36
26
0
25 Sep 2017
Natasha 2: Faster Non-Convex Optimization Than SGD
Natasha 2: Faster Non-Convex Optimization Than SGD
Zeyuan Allen-Zhu
ODL
28
245
0
29 Aug 2017
Stochastic Recursive Gradient Algorithm for Nonconvex Optimization
Stochastic Recursive Gradient Algorithm for Nonconvex Optimization
Lam M. Nguyen
Jie Liu
K. Scheinberg
Martin Takáč
11
94
0
20 May 2017
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