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A Generic Approach for Escaping Saddle points

A Generic Approach for Escaping Saddle points

5 September 2017
Sashank J. Reddi
Manzil Zaheer
S. Sra
Barnabás Póczós
Francis R. Bach
Ruslan Salakhutdinov
Alex Smola
ArXivPDFHTML

Papers citing "A Generic Approach for Escaping Saddle points"

14 / 14 papers shown
Title
Tackling benign nonconvexity with smoothing and stochastic gradients
Tackling benign nonconvexity with smoothing and stochastic gradients
Harsh Vardhan
Sebastian U. Stich
28
8
0
18 Feb 2022
Escaping Saddle Points with Compressed SGD
Escaping Saddle Points with Compressed SGD
Dmitrii Avdiukhin
G. Yaroslavtsev
22
4
0
21 May 2021
Quickly Finding a Benign Region via Heavy Ball Momentum in Non-Convex
  Optimization
Quickly Finding a Benign Region via Heavy Ball Momentum in Non-Convex Optimization
Jun-Kun Wang
Jacob D. Abernethy
11
7
0
04 Oct 2020
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
Z. Yao
A. Gholami
Sheng Shen
Mustafa Mustafa
Kurt Keutzer
Michael W. Mahoney
ODL
39
275
0
01 Jun 2020
Adaptive Federated Optimization
Adaptive Federated Optimization
Sashank J. Reddi
Zachary B. Charles
Manzil Zaheer
Zachary Garrett
Keith Rush
Jakub Konecný
Sanjiv Kumar
H. B. McMahan
FedML
37
1,393
0
29 Feb 2020
Combining Stochastic Adaptive Cubic Regularization with Negative
  Curvature for Nonconvex Optimization
Combining Stochastic Adaptive Cubic Regularization with Negative Curvature for Nonconvex Optimization
Seonho Park
Seung Hyun Jung
P. Pardalos
ODL
29
15
0
27 Jun 2019
SGD Converges to Global Minimum in Deep Learning via Star-convex Path
SGD Converges to Global Minimum in Deep Learning via Star-convex Path
Yi Zhou
Junjie Yang
Huishuai Zhang
Yingbin Liang
Vahid Tarokh
14
71
0
02 Jan 2019
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path
  Integrated Differential Estimator
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator
Cong Fang
C. J. Li
Zhouchen Lin
Tong Zhang
50
570
0
04 Jul 2018
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
On Gradient-Based Learning in Continuous Games
On Gradient-Based Learning in Continuous Games
Eric Mazumdar
Lillian J. Ratliff
S. Shankar Sastry
19
134
0
16 Apr 2018
Escaping Saddles with Stochastic Gradients
Escaping Saddles with Stochastic Gradients
Hadi Daneshmand
Jonas Köhler
Aurelien Lucchi
Thomas Hofmann
24
161
0
15 Mar 2018
On the insufficiency of existing momentum schemes for Stochastic
  Optimization
On the insufficiency of existing momentum schemes for Stochastic Optimization
Rahul Kidambi
Praneeth Netrapalli
Prateek Jain
Sham Kakade
ODL
27
117
0
15 Mar 2018
Neon2: Finding Local Minima via First-Order Oracles
Neon2: Finding Local Minima via First-Order Oracles
Zeyuan Allen-Zhu
Yuanzhi Li
21
130
0
17 Nov 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
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