Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1607.08254
Cited By
Stochastic Frank-Wolfe Methods for Nonconvex Optimization
27 July 2016
Sashank J. Reddi
S. Sra
Barnabás Póczós
Alex Smola
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Stochastic Frank-Wolfe Methods for Nonconvex Optimization"
19 / 69 papers shown
Title
Quantized Frank-Wolfe: Faster Optimization, Lower Communication, and Projection Free
Mingrui Zhang
Lin Chen
Aryan Mokhtari
Hamed Hassani
Amin Karbasi
16
8
0
17 Feb 2019
ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization
Nhan H. Pham
Lam M. Nguyen
Dzung Phan
Quoc Tran-Dinh
18
139
0
15 Feb 2019
Stochastic Frank-Wolfe for Composite Convex Minimization
Francesco Locatello
A. Yurtsever
Olivier Fercoq
V. Cevher
22
15
0
29 Jan 2019
Model Function Based Conditional Gradient Method with Armijo-like Line Search
Yura Malitsky
Peter Ochs
11
4
0
23 Jan 2019
A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks
Jinghui Chen
Dongruo Zhou
Jinfeng Yi
Quanquan Gu
AAML
23
68
0
27 Nov 2018
Revisiting Projection-Free Optimization for Strongly Convex Constraint Sets
Jarrid Rector-Brooks
Jun-Kun Wang
Barzan Mozafari
8
9
0
14 Nov 2018
Towards Gradient Free and Projection Free Stochastic Optimization
Anit Kumar Sahu
Manzil Zaheer
S. Kar
14
39
0
08 Oct 2018
Zeroth-order Nonconvex Stochastic Optimization: Handling Constraints, High-Dimensionality and Saddle-Points
Krishnakumar Balasubramanian
Saeed Ghadimi
ODL
22
100
0
17 Sep 2018
Projection-Free Algorithms in Statistical Estimation
Yan Li
Chao Qu
Huan Xu
20
0
0
20 May 2018
Stochastic Conditional Gradient Methods: From Convex Minimization to Submodular Maximization
Aryan Mokhtari
Hamed Hassani
Amin Karbasi
23
111
0
24 Apr 2018
Constrained Deep Learning using Conditional Gradient and Applications in Computer Vision
Sathya Ravi
Tuan Dinh
Vishnu Suresh Lokhande
Vikas Singh
AI4CE
33
22
0
17 Mar 2018
Conditional Gradient Method for Stochastic Submodular Maximization: Closing the Gap
Aryan Mokhtari
S. Hassani
Amin Karbasi
27
70
0
05 Nov 2017
Riemannian Optimization via Frank-Wolfe Methods
Melanie Weber
S. Sra
18
32
0
30 Oct 2017
Automated Scalable Bayesian Inference via Hilbert Coresets
Trevor Campbell
Tamara Broderick
32
127
0
13 Oct 2017
Approximate and Stochastic Greedy Optimization
N. Ye
Peter L. Bartlett
9
0
0
25 May 2017
Discriminative Metric Learning with Deep Forest
Lev V. Utkin
M. Ryabinin
14
21
0
25 May 2017
A Siamese Deep Forest
Lev V. Utkin
M. Ryabinin
29
67
0
27 Apr 2017
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark Schmidt
139
1,205
0
16 Aug 2016
A Proximal Stochastic Gradient Method with Progressive Variance Reduction
Lin Xiao
Tong Zhang
ODL
93
737
0
19 Mar 2014
Previous
1
2