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HOUDINI: Escaping from Moderately Constrained Saddles

HOUDINI: Escaping from Moderately Constrained Saddles

27 May 2022
Dmitrii Avdiukhin
G. Yaroslavtsev
ArXivPDFHTML

Papers citing "HOUDINI: Escaping from Moderately Constrained Saddles"

16 / 16 papers shown
Title
Escape saddle points by a simple gradient-descent based algorithm
Escape saddle points by a simple gradient-descent based algorithm
Chenyi Zhang
Tongyang Li
ODL
61
15
0
28 Nov 2021
Stochastic Recursive Variance-Reduced Cubic Regularization Methods
Stochastic Recursive Variance-Reduced Cubic Regularization Methods
Dongruo Zhou
Quanquan Gu
57
26
0
31 Jan 2019
Escaping Saddle Points with Adaptive Gradient Methods
Escaping Saddle Points with Adaptive Gradient Methods
Matthew Staib
Sashank J. Reddi
Satyen Kale
Sanjiv Kumar
S. Sra
ODL
41
74
0
26 Jan 2019
Escaping Saddle Points in Constrained Optimization
Escaping Saddle Points in Constrained Optimization
Aryan Mokhtari
Asuman Ozdaglar
Ali Jadbabaie
41
53
0
06 Sep 2018
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
89
577
0
04 Jul 2018
Stochastic Nested Variance Reduction for Nonconvex Optimization
Stochastic Nested Variance Reduction for Nonconvex Optimization
Dongruo Zhou
Pan Xu
Quanquan Gu
62
147
0
20 Jun 2018
Escaping Saddles with Stochastic Gradients
Escaping Saddles with Stochastic Gradients
Hadi Daneshmand
Jonas Köhler
Aurelien Lucchi
Thomas Hofmann
60
162
0
15 Mar 2018
Accelerated Gradient Descent Escapes Saddle Points Faster than Gradient
  Descent
Accelerated Gradient Descent Escapes Saddle Points Faster than Gradient Descent
Chi Jin
Praneeth Netrapalli
Michael I. Jordan
ODL
61
261
0
28 Nov 2017
Neon2: Finding Local Minima via First-Order Oracles
Neon2: Finding Local Minima via First-Order Oracles
Zeyuan Allen-Zhu
Yuanzhi Li
57
130
0
17 Nov 2017
Stochastic Cubic Regularization for Fast Nonconvex Optimization
Stochastic Cubic Regularization for Fast Nonconvex Optimization
Nilesh Tripuraneni
Mitchell Stern
Chi Jin
Jeffrey Regier
Michael I. Jordan
45
174
0
08 Nov 2017
First-order Stochastic Algorithms for Escaping From Saddle Points in
  Almost Linear Time
First-order Stochastic Algorithms for Escaping From Saddle Points in Almost Linear Time
Yi Tian Xu
Rong Jin
Tianbao Yang
ODL
71
116
0
03 Nov 2017
Natasha 2: Faster Non-Convex Optimization Than SGD
Natasha 2: Faster Non-Convex Optimization Than SGD
Zeyuan Allen-Zhu
ODL
77
246
0
29 Aug 2017
Gradient Descent Can Take Exponential Time to Escape Saddle Points
Gradient Descent Can Take Exponential Time to Escape Saddle Points
S. Du
Chi Jin
Jason D. Lee
Michael I. Jordan
Barnabás Póczós
Aarti Singh
54
244
0
29 May 2017
How to Escape Saddle Points Efficiently
How to Escape Saddle Points Efficiently
Chi Jin
Rong Ge
Praneeth Netrapalli
Sham Kakade
Michael I. Jordan
ODL
217
836
0
02 Mar 2017
Efficient approaches for escaping higher order saddle points in
  non-convex optimization
Efficient approaches for escaping higher order saddle points in non-convex optimization
Anima Anandkumar
Rong Ge
28
143
0
18 Feb 2016
Escaping From Saddle Points --- Online Stochastic Gradient for Tensor
  Decomposition
Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposition
Rong Ge
Furong Huang
Chi Jin
Yang Yuan
137
1,058
0
06 Mar 2015
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