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One Sample Stochastic Frank-Wolfe

One Sample Stochastic Frank-Wolfe

10 October 2019
Mingrui Zhang
Zebang Shen
Aryan Mokhtari
Hamed Hassani
Amin Karbasi
ArXivPDFHTML

Papers citing "One Sample Stochastic Frank-Wolfe"

16 / 16 papers shown
Title
From Adaptive Query Release to Machine Unlearning
From Adaptive Query Release to Machine Unlearning
Enayat Ullah
R. Arora
MU
30
4
0
20 Jul 2023
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
30
5
0
23 Apr 2023
Accelerated First-Order Optimization under Nonlinear Constraints
Accelerated First-Order Optimization under Nonlinear Constraints
Michael Muehlebach
Michael I. Jordan
52
3
0
01 Feb 2023
Variance-Reduced Conservative Policy Iteration
Variance-Reduced Conservative Policy Iteration
Naman Agarwal
Brian Bullins
Karan Singh
32
3
0
12 Dec 2022
Learning in Congestion Games with Bandit Feedback
Learning in Congestion Games with Bandit Feedback
Qiwen Cui
Zhihan Xiong
Maryam Fazel
S. Du
28
12
0
04 Jun 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
Heavy Ball Momentum for Conditional Gradient
Heavy Ball Momentum for Conditional Gradient
Bingcong Li
A. Sadeghi
G. Giannakis
26
5
0
08 Oct 2021
On Constraints in First-Order Optimization: A View from Non-Smooth
  Dynamical Systems
On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems
Michael Muehlebach
Michael I. Jordan
42
18
0
17 Jul 2021
Zeroth and First Order Stochastic Frank-Wolfe Algorithms for Constrained
  Optimization
Zeroth and First Order Stochastic Frank-Wolfe Algorithms for Constrained Optimization
Zeeshan Akhtar
K. Rajawat
39
6
0
14 Jul 2021
Differentially Private Stochastic Optimization: New Results in Convex
  and Non-Convex Settings
Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings
Raef Bassily
Cristóbal Guzmán
Michael Menart
52
55
0
12 Jul 2021
A Stochastic Sequential Quadratic Optimization Algorithm for Nonlinear
  Equality Constrained Optimization with Rank-Deficient Jacobians
A Stochastic Sequential Quadratic Optimization Algorithm for Nonlinear Equality Constrained Optimization with Rank-Deficient Jacobians
A. Berahas
Frank E. Curtis
Michael OÑeill
Daniel P. Robinson
24
31
0
24 Jun 2021
Non-Euclidean Differentially Private Stochastic Convex Optimization:
  Optimal Rates in Linear Time
Non-Euclidean Differentially Private Stochastic Convex Optimization: Optimal Rates in Linear Time
Raef Bassily
Cristóbal Guzmán
Anupama Nandi
59
66
0
01 Mar 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
Continuous Submodular Maximization: Beyond DR-Submodularity
Continuous Submodular Maximization: Beyond DR-Submodularity
Moran Feldman
Amin Karbasi
16
5
0
21 Jun 2020
Faster Projection-free Online Learning
Faster Projection-free Online Learning
Elad Hazan
Edgar Minasyan
25
58
0
30 Jan 2020
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
176
1,125
0
25 Jul 2012
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