ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1612.06003
  4. Cited By
Inexact Proximal Gradient Methods for Non-convex and Non-smooth
  Optimization
v1v2 (latest)

Inexact Proximal Gradient Methods for Non-convex and Non-smooth Optimization

18 December 2016
Bin Gu
De Wang
Zhouyuan Huo
Heng-Chiao Huang
ArXiv (abs)PDFHTML

Papers citing "Inexact Proximal Gradient Methods for Non-convex and Non-smooth Optimization"

10 / 10 papers shown
Title
A Proximal Stochastic Gradient Method with Progressive Variance
  Reduction
A Proximal Stochastic Gradient Method with Progressive Variance Reduction
Lin Xiao
Tong Zhang
ODL
163
741
0
19 Mar 2014
Inexact Coordinate Descent: Complexity and Preconditioning
Inexact Coordinate Descent: Complexity and Preconditioning
R. Tappenden
Peter Richtárik
J. Gondzio
99
100
0
19 Apr 2013
Query Complexity of Derivative-Free Optimization
Query Complexity of Derivative-Free Optimization
Kevin Jamieson
Robert D. Nowak
Benjamin Recht
194
160
0
11 Sep 2012
Convergence Rates of Inexact Proximal-Gradient Methods for Convex
  Optimization
Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization
Mark Schmidt
Nicolas Le Roux
Francis R. Bach
238
584
0
12 Sep 2011
Trace Lasso: a trace norm regularization for correlated designs
Trace Lasso: a trace norm regularization for correlated designs
Edouard Grave
G. Obozinski
Francis R. Bach
131
197
0
09 Sep 2011
Optimization with Sparsity-Inducing Penalties
Optimization with Sparsity-Inducing Penalties
Francis R. Bach
Rodolphe Jenatton
Julien Mairal
G. Obozinski
239
1,058
0
03 Aug 2011
Stochastic convex optimization with bandit feedback
Stochastic convex optimization with bandit feedback
Alekh Agarwal
Dean Phillips Foster
Daniel J. Hsu
Sham Kakade
Alexander Rakhlin
199
239
0
08 Jul 2011
Randomized Smoothing for Stochastic Optimization
Randomized Smoothing for Stochastic Optimization
John C. Duchi
Peter L. Bartlett
Martin J. Wainwright
113
288
0
22 Mar 2011
Guaranteed Rank Minimization via Singular Value Projection
Guaranteed Rank Minimization via Singular Value Projection
Raghu Meka
Prateek Jain
Inderjit S. Dhillon
210
554
0
30 Sep 2009
Consistency of trace norm minimization
Consistency of trace norm minimization
Francis R. Bach
274
221
0
15 Oct 2007
1