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2010.06250
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Regret minimization in stochastic non-convex learning via a proximal-gradient approach
13 October 2020
Nadav Hallak
P. Mertikopoulos
Volkan Cevher
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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
Amélie Héliou
Matthieu Martin
P. Mertikopoulos
Thibaud Rahier
27
10
0
13 Sep 2021
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
Ali Kavis
Kfir Y. Levy
Francis R. Bach
Volkan Cevher
ODL
53
56
0
30 Oct 2019
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
A. Suggala
Praneeth Netrapalli
108
54
0
19 Mar 2019
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
73
340
0
21 Feb 2019
Learning in Non-convex Games with an Optimization Oracle
Naman Agarwal
Alon Gonen
Elad Hazan
OffRL
50
60
0
17 Oct 2018
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
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
Xiaoyun Li
Francesco Orabona
57
294
0
21 May 2018
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
Paulina Grnarova
Kfir Y. Levy
Aurelien Lucchi
Thomas Hofmann
Andreas Krause
GAN
45
90
0
10 Jun 2017
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
Sébastien Bubeck
Ronen Eldan
49
73
0
23 Jul 2015
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)
Nicolò Cesa-Bianchi
Pierre Gaillard
Gabor Lugosi
Gilles Stoltz
139
98
0
15 Feb 2012
X-Armed Bandits
Sébastien Bubeck
Rémi Munos
Gilles Stoltz
Csaba Szepesvari
126
383
0
25 Jan 2010
Multi-Armed Bandits in Metric Spaces
Robert D. Kleinberg
Aleksandrs Slivkins
E. Upfal
261
468
0
29 Sep 2008
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