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. 2002.11860
  4. Cited By
Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization

Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization

27 February 2020
Geoffrey Negiar
Gideon Dresdner
Alicia Y. Tsai
L. Ghaoui
Francesco Locatello
Robert M. Freund
Fabian Pedregosa
ArXivPDFHTML

Papers citing "Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization"

8 / 8 papers shown
Title
An Enhanced Zeroth-Order Stochastic Frank-Wolfe Framework for Constrained Finite-Sum Optimization
An Enhanced Zeroth-Order Stochastic Frank-Wolfe Framework for Constrained Finite-Sum Optimization
Haishan Ye
Yinghui Huang
Hao Di
Xiangyu Chang
43
0
0
13 Jan 2025
Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates
  and Practical Features
Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features
Aleksandr Beznosikov
David Dobre
Gauthier Gidel
27
5
0
23 Apr 2023
Compression-aware Training of Neural Networks using Frank-Wolfe
Compression-aware Training of Neural Networks using Frank-Wolfe
Max Zimmer
Christoph Spiegel
Sebastian Pokutta
31
9
0
24 May 2022
How catastrophic can catastrophic forgetting be in linear regression?
How catastrophic can catastrophic forgetting be in linear regression?
Itay Evron
E. Moroshko
Rachel A. Ward
Nati Srebro
Daniel Soudry
CLL
35
48
0
19 May 2022
Faster One-Sample Stochastic Conditional Gradient Method for Composite
  Convex Minimization
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization
Gideon Dresdner
Maria-Luiza Vladarean
Olivier Fercoq
Francesco Locatello
V. Cevher
A. Yurtsever
18
1
0
26 Feb 2022
No-Regret Dynamics in the Fenchel Game: A Unified Framework for
  Algorithmic Convex Optimization
No-Regret Dynamics in the Fenchel Game: A Unified Framework for Algorithmic Convex Optimization
Jun-Kun Wang
Jacob D. Abernethy
Kfir Y. Levy
27
21
0
22 Nov 2021
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps
  and Relevance Orderings
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings
Jan Macdonald
Mathieu Besançon
Sebastian Pokutta
32
12
0
15 Oct 2021
Sequential Quadratic Optimization for Nonlinear Equality Constrained
  Stochastic Optimization
Sequential Quadratic Optimization for Nonlinear Equality Constrained Stochastic Optimization
A. Berahas
Frank E. Curtis
Daniel P. Robinson
Baoyu Zhou
21
51
0
20 Jul 2020
1