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Regret minimization in stochastic non-convex learning via a
  proximal-gradient approach

Regret minimization in stochastic non-convex learning via a proximal-gradient approach

13 October 2020
Nadav Hallak
P. Mertikopoulos
Volkan Cevher
ArXivPDFHTML

Papers citing "Regret minimization in stochastic non-convex learning via a proximal-gradient approach"

18 / 18 papers shown
Title
Zeroth-order non-convex learning via hierarchical dual averaging
Zeroth-order non-convex learning via hierarchical dual averaging
Amélie Héliou
Matthieu Martin
P. Mertikopoulos
Thibaud Rahier
27
10
0
13 Sep 2021
Lower Bounds for Non-Convex Stochastic Optimization
Lower Bounds for Non-Convex Stochastic Optimization
Yossi Arjevani
Y. Carmon
John C. Duchi
Dylan J. Foster
Nathan Srebro
Blake E. Woodworth
67
349
0
05 Dec 2019
UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for
  Constrained Optimization
UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization
Ali Kavis
Kfir Y. Levy
Francis R. Bach
Volkan Cevher
ODL
53
56
0
30 Oct 2019
Introduction to Online Convex Optimization
Introduction to Online Convex Optimization
Elad Hazan
OffRL
108
1,922
0
07 Sep 2019
Online Non-Convex Learning: Following the Perturbed Leader is Optimal
Online Non-Convex Learning: Following the Perturbed Leader is Optimal
A. Suggala
Praneeth Netrapalli
108
54
0
19 Mar 2019
Solving a Class of Non-Convex Min-Max Games Using Iterative First Order
  Methods
Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods
Maher Nouiehed
Maziar Sanjabi
Tianjian Huang
Jason D. Lee
Meisam Razaviyayn
69
340
0
21 Feb 2019
Learning in Non-convex Games with an Optimization Oracle
Learning in Non-convex Games with an Optimization Oracle
Naman Agarwal
Alon Gonen
Elad Hazan
OffRL
47
60
0
17 Oct 2018
On the Regret Minimization of Nonconvex Online Gradient Ascent for
  Online PCA
On the Regret Minimization of Nonconvex Online Gradient Ascent for Online PCA
Dan Garber
ODL
32
9
0
27 Sep 2018
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path
  Integrated Differential Estimator
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator
Cong Fang
C. J. Li
Zhouchen Lin
Tong Zhang
81
572
0
04 Jul 2018
On the Convergence of Stochastic Gradient Descent with Adaptive
  Stepsizes
On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes
Xiaoyun Li
Francesco Orabona
57
294
0
21 May 2018
Efficient Regret Minimization in Non-Convex Games
Efficient Regret Minimization in Non-Convex Games
Elad Hazan
Karan Singh
Cyril Zhang
91
96
0
31 Jul 2017
An Online Learning Approach to Generative Adversarial Networks
An Online Learning Approach to Generative Adversarial Networks
Paulina Grnarova
Kfir Y. Levy
Aurelien Lucchi
Thomas Hofmann
Andreas Krause
GAN
43
90
0
10 Jun 2017
Kernel-based methods for bandit convex optimization
Kernel-based methods for bandit convex optimization
Sébastien Bubeck
Ronen Eldan
Y. Lee
296
165
0
11 Jul 2016
Multi-scale exploration of convex functions and bandit convex
  optimization
Multi-scale exploration of convex functions and bandit convex optimization
Sébastien Bubeck
Ronen Eldan
49
73
0
23 Jul 2015
Non-stationary Stochastic Optimization
Non-stationary Stochastic Optimization
Omar Besbes
Y. Gur
A. Zeevi
127
430
0
20 Jul 2013
Mirror Descent Meets Fixed Share (and feels no regret)
Mirror Descent Meets Fixed Share (and feels no regret)
Nicolò Cesa-Bianchi
Pierre Gaillard
Gabor Lugosi
Gilles Stoltz
139
98
0
15 Feb 2012
X-Armed Bandits
X-Armed Bandits
Sébastien Bubeck
Rémi Munos
Gilles Stoltz
Csaba Szepesvari
126
383
0
25 Jan 2010
Multi-Armed Bandits in Metric Spaces
Multi-Armed Bandits in Metric Spaces
Robert D. Kleinberg
Aleksandrs Slivkins
E. Upfal
261
468
0
29 Sep 2008
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