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Projection Efficient Subgradient Method and Optimal Nonsmooth
  Frank-Wolfe Method

Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method

5 October 2020
K. K. Thekumparampil
Prateek Jain
Praneeth Netrapalli
Sewoong Oh
ArXivPDFHTML

Papers citing "Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method"

12 / 12 papers shown
Title
Primal Methods for Variational Inequality Problems with Functional Constraints
Primal Methods for Variational Inequality Problems with Functional Constraints
Liang Zhang
Niao He
Michael Muehlebach
47
2
0
19 Mar 2024
Low-Rank Mirror-Prox for Nonsmooth and Low-Rank Matrix Optimization Problems
Low-Rank Mirror-Prox for Nonsmooth and Low-Rank Matrix Optimization Problems
Dan Garber
Atara Kaplan
28
0
0
23 Jun 2022
Optimizing generalized Gini indices for fairness in rankings
Optimizing generalized Gini indices for fairness in rankings
Virginie Do
Nicolas Usunier
15
29
0
02 Apr 2022
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems
Dan Garber
Atara Kaplan
28
5
0
08 Feb 2022
Robust Regression Revisited: Acceleration and Improved Estimation Rates
Robust Regression Revisited: Acceleration and Improved Estimation Rates
A. Jambulapati
Jingkai Li
T. Schramm
Kevin Tian
AAML
32
17
0
22 Jun 2021
Being Properly Improper
Being Properly Improper
Tyler Sypherd
Richard Nock
Lalitha Sankar
FaML
39
10
0
18 Jun 2021
Stochastic Bias-Reduced Gradient Methods
Stochastic Bias-Reduced Gradient Methods
Hilal Asi
Y. Carmon
A. Jambulapati
Yujia Jin
Aaron Sidford
34
29
0
17 Jun 2021
Frank-Wolfe Algorithms for Saddle Point Problems
Frank-Wolfe Algorithms for Saddle Point Problems
Gauthier Gidel
Tony Jebara
Simon Lacoste-Julien
42
70
0
25 Oct 2016
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
187
603
0
22 Sep 2016
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
66
96
0
20 Jan 2013
A simpler approach to obtaining an O(1/t) convergence rate for the
  projected stochastic subgradient method
A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method
Simon Lacoste-Julien
Mark Schmidt
Francis R. Bach
128
259
0
10 Dec 2012
Stochastic Gradient Descent for Non-smooth Optimization: Convergence
  Results and Optimal Averaging Schemes
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
Ohad Shamir
Tong Zhang
104
572
0
08 Dec 2012
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