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Non-convex Optimization for Machine Learning

Non-convex Optimization for Machine Learning

21 December 2017
Prateek Jain
Purushottam Kar
ArXivPDFHTML

Papers citing "Non-convex Optimization for Machine Learning"

14 / 64 papers shown
Title
Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled
  Gradient Descent
Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent
Tian Tong
Cong Ma
Yuejie Chi
21
113
0
18 May 2020
High-Dimensional Robust Mean Estimation via Gradient Descent
High-Dimensional Robust Mean Estimation via Gradient Descent
Yu Cheng
Ilias Diakonikolas
Rong Ge
Mahdi Soltanolkotabi
9
31
0
04 May 2020
On the Sample Complexity and Optimization Landscape for Quadratic
  Feasibility Problems
On the Sample Complexity and Optimization Landscape for Quadratic Feasibility Problems
Parth Thaker
Gautam Dasarathy
Angelia Nedić
18
5
0
04 Feb 2020
State Space Emulation and Annealed Sequential Monte Carlo for High
  Dimensional Optimization
State Space Emulation and Annealed Sequential Monte Carlo for High Dimensional Optimization
Chencheng Cai
Rong Chen
13
0
0
17 Nov 2019
Second-Order Guarantees of Stochastic Gradient Descent in Non-Convex
  Optimization
Second-Order Guarantees of Stochastic Gradient Descent in Non-Convex Optimization
Stefan Vlaski
Ali H. Sayed
ODL
18
21
0
19 Aug 2019
ZeroER: Entity Resolution using Zero Labeled Examples
ZeroER: Entity Resolution using Zero Labeled Examples
Renzhi Wu
Sanya Chaba
Saurabh Sawlani
Xu Chu
Saravanan Thirumuruganathan
21
90
0
16 Aug 2019
Distributed Inexact Successive Convex Approximation ADMM: Analysis-Part
  I
Distributed Inexact Successive Convex Approximation ADMM: Analysis-Part I
Sandeep Kumar
K. Rajawat
Daniel P. Palomar
14
4
0
21 Jul 2019
A Sufficient Condition for Convergences of Adam and RMSProp
A Sufficient Condition for Convergences of Adam and RMSProp
Fangyu Zou
Li Shen
Zequn Jie
Weizhong Zhang
Wei Liu
30
364
0
23 Nov 2018
Sampling Can Be Faster Than Optimization
Sampling Can Be Faster Than Optimization
Yian Ma
Yuansi Chen
Chi Jin
Nicolas Flammarion
Michael I. Jordan
11
183
0
20 Nov 2018
Algorithmic Aspects of Inverse Problems Using Generative Models
Algorithmic Aspects of Inverse Problems Using Generative Models
C. Hegde
GAN
25
21
0
08 Oct 2018
A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery
  in Signal Processing, Statistics, and Machine Learning
A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning
Fei Wen
L. Chu
Peilin Liu
Robert C. Qiu
23
153
0
16 Aug 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
36
570
0
04 Jul 2018
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
179
1,185
0
30 Nov 2014
Fast L1-Minimization Algorithms For Robust Face Recognition
Fast L1-Minimization Algorithms For Robust Face Recognition
A. Yang
Zihan Zhou
Arvind Ganesh
S. Shankar Sastry
Yi Ma
CVBM
70
266
0
21 Jul 2010
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