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. 1404.5692
  4. Cited By
Forward - Backward Greedy Algorithms for Atomic Norm Regularization
v1v2 (latest)

Forward - Backward Greedy Algorithms for Atomic Norm Regularization

23 April 2014
Nikhil S. Rao
P. Shah
Stephen J. Wright
ArXiv (abs)PDFHTML

Papers citing "Forward - Backward Greedy Algorithms for Atomic Norm Regularization"

14 / 14 papers shown
Title
Accelerated Nonnegative Tensor Completion via Integer Programming
Accelerated Nonnegative Tensor Completion via Integer Programming
Wenhao Pan
A. Aswani
Chen Chen
75
1
0
28 Nov 2022
Nonnegative Tensor Completion via Integer Optimization
Nonnegative Tensor Completion via Integer Optimization
C. Bugg
Chen Chen
A. Aswani
51
8
0
08 Nov 2021
Structure learning in polynomial time: Greedy algorithms, Bregman
  information, and exponential families
Structure learning in polynomial time: Greedy algorithms, Bregman information, and exponential families
Goutham Rajendran
Bohdan Kivva
Ming Gao
Bryon Aragam
69
17
0
10 Oct 2021
Screening for a Reweighted Penalized Conditional Gradient Method
Screening for a Reweighted Penalized Conditional Gradient Method
Yifan Sun
Francis R. Bach
48
0
0
02 Jul 2021
Sparse Bayesian Learning via Stepwise Regression
Sparse Bayesian Learning via Stepwise Regression
Sebastian Ament
Carla P. Gomes
55
6
0
11 Jun 2021
Second-order Conditional Gradient Sliding
Second-order Conditional Gradient Sliding
Alejandro Carderera
Sebastian Pokutta
123
13
0
20 Feb 2020
Stochastic In-Face Frank-Wolfe Methods for Non-Convex Optimization and
  Sparse Neural Network Training
Stochastic In-Face Frank-Wolfe Methods for Non-Convex Optimization and Sparse Neural Network Training
Paul Grigas
Alfonso Lobos
Nathan Vermeersch
81
5
0
09 Jun 2019
Blended Matching Pursuit
Blended Matching Pursuit
Cyrille W. Combettes
Sebastian Pokutta
60
5
0
28 Apr 2019
Blended Conditional Gradients: the unconditioning of conditional gradients
Blended Conditional Gradients: the unconditioning of conditional gradients
Gábor Braun
Sebastian Pokutta
Dan Tu
S. Wright
93
27
0
18 May 2018
Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix
  Estimation
Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix Estimation
Yudong Chen
Yuejie Chi
147
173
0
23 Feb 2018
On Approximation Guarantees for Greedy Low Rank Optimization
On Approximation Guarantees for Greedy Low Rank Optimization
Rajiv Khanna
Ethan R. Elenberg
A. Dimakis
S. Negahban
83
24
0
08 Mar 2017
A Unified Optimization View on Generalized Matching Pursuit and
  Frank-Wolfe
A Unified Optimization View on Generalized Matching Pursuit and Frank-Wolfe
Francesco Locatello
Rajiv Khanna
Michael Tschannen
Martin Jaggi
67
50
0
21 Feb 2017
Structured Sparse Regression via Greedy Hard-Thresholding
Structured Sparse Regression via Greedy Hard-Thresholding
Prateek Jain
Nikhil S. Rao
Inderjit Dhillon
58
42
0
19 Feb 2016
An Extended Frank-Wolfe Method with "In-Face" Directions, and its
  Application to Low-Rank Matrix Completion
An Extended Frank-Wolfe Method with "In-Face" Directions, and its Application to Low-Rank Matrix Completion
R. Freund
Paul Grigas
Rahul Mazumder
68
115
0
06 Nov 2015
1