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. 1805.07311
  4. Cited By
Blended Conditional Gradients: the unconditioning of conditional gradients

Blended Conditional Gradients: the unconditioning of conditional gradients

18 May 2018
Gábor Braun
S. Pokutta
Dan Tu
S. Wright
ArXivPDFHTML

Papers citing "Blended Conditional Gradients: the unconditioning of conditional gradients"

10 / 10 papers shown
Title
Parameter-free Locally Accelerated Conditional Gradients
Parameter-free Locally Accelerated Conditional Gradients
Alejandro Carderera
Jelena Diakonikolas
Cheuk Yin Lin
S. Pokutta
17
7
0
12 Feb 2021
Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem
Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem
Bingcong Li
Lingda Wang
G. Giannakis
Zhizhen Zhao
11
2
0
09 Dec 2020
Solving relaxations of MAP-MRF problems: Combinatorial in-face
  Frank-Wolfe directions
Solving relaxations of MAP-MRF problems: Combinatorial in-face Frank-Wolfe directions
V. Kolmogorov
11
0
0
19 Oct 2020
How Does Momentum Help Frank Wolfe?
How Does Momentum Help Frank Wolfe?
Bingcong Li
M. Coutiño
G. Giannakis
G. Leus
19
7
0
19 Jun 2020
Walking in the Shadow: A New Perspective on Descent Directions for
  Constrained Minimization
Walking in the Shadow: A New Perspective on Descent Directions for Constrained Minimization
Hassan Mortagy
Swati Gupta
S. Pokutta
9
7
0
15 Jun 2020
Boosting Frank-Wolfe by Chasing Gradients
Boosting Frank-Wolfe by Chasing Gradients
Cyrille W. Combettes
S. Pokutta
17
28
0
13 Mar 2020
Locally Accelerated Conditional Gradients
Locally Accelerated Conditional Gradients
Jelena Diakonikolas
Alejandro Carderera
S. Pokutta
27
19
0
19 Jun 2019
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
11
5
0
09 Jun 2019
Blended Matching Pursuit
Blended Matching Pursuit
Cyrille W. Combettes
S. Pokutta
14
5
0
28 Apr 2019
A Linearly Convergent Conditional Gradient Algorithm with Applications
  to Online and Stochastic Optimization
A Linearly Convergent Conditional Gradient Algorithm with Applications to Online and Stochastic Optimization
Dan Garber
Elad Hazan
48
94
0
20 Jan 2013
1