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Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity,
  and Optimism
v1v2 (latest)

Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism

21 December 2020
Yu-Guan Hsieh
F. Iutzeler
J. Malick
P. Mertikopoulos
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism"

33 / 33 papers shown
Title
No-regret learning in harmonic games: Extrapolation in the face of conflicting interests
No-regret learning in harmonic games: Extrapolation in the face of conflicting interests
Davide Legacci
P. Mertikopoulos
Christos H. Papadimitriou
Georgios Piliouras
Bary S. R. Pradelski
97
4
0
31 Dec 2024
Nonstochastic Bandits with Composite Anonymous Feedback
Nonstochastic Bandits with Composite Anonymous Feedback
Nicolò Cesa-Bianchi
Tommaso Cesari
Roberto Colomboni
Claudio Gentile
Yishay Mansour
174
40
0
06 Dec 2021
Online Learning with Optimism and Delay
Online Learning with Optimism and Delay
Genevieve Flaspohler
Francesco Orabona
J. Cohen
Soukayna Mouatadid
Miruna Oprescu
Paulo Orenstein
Lester W. Mackey
78
35
0
13 Jun 2021
Optimization in Open Networks via Dual Averaging
Optimization in Open Networks via Dual Averaging
Yu-Guan Hsieh
F. Iutzeler
J. Malick
P. Mertikopoulos
39
10
0
27 May 2021
Real-Time Optimisation for Online Learning in Auctions
Real-Time Optimisation for Online Learning in Auctions
Lorenzo Croissant
Marc Abeille
Clément Calauzènes
52
4
0
20 Oct 2020
An Efficient Algorithm for Cooperative Semi-Bandits
An Efficient Algorithm for Cooperative Semi-Bandits
R. D. Vecchia
Tommaso Cesari
34
10
0
05 Oct 2020
Stability of Decentralized Gradient Descent in Open Multi-Agent Systems
Stability of Decentralized Gradient Descent in Open Multi-Agent Systems
Julien Hendrickx
Michael G. Rabbat
46
17
0
11 Sep 2020
Explore Aggressively, Update Conservatively: Stochastic Extragradient
  Methods with Variable Stepsize Scaling
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling
Yu-Guan Hsieh
F. Iutzeler
J. Malick
P. Mertikopoulos
82
69
0
23 Mar 2020
A Distributed Online Convex Optimization Algorithm with Improved Dynamic
  Regret
A Distributed Online Convex Optimization Algorithm with Improved Dynamic Regret
Yan Zhang
Robert J. Ravier
Michael M. Zavlanos
Vahid Tarokh
59
33
0
12 Nov 2019
Unifying mirror descent and dual averaging
Unifying mirror descent and dual averaging
A. Juditsky
Joon Kwon
Eric Moulines
61
29
0
30 Oct 2019
An Optimal Algorithm for Adversarial Bandits with Arbitrary Delays
An Optimal Algorithm for Adversarial Bandits with Arbitrary Delays
Julian Zimmert
Yevgeny Seldin
61
53
0
14 Oct 2019
Introduction to Online Convex Optimization
Introduction to Online Convex Optimization
Elad Hazan
OffRL
195
1,940
0
07 Sep 2019
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey
Xiaofei Wang
Yiwen Han
Victor C. M. Leung
Dusit Niyato
Xueqiang Yan
Xu Chen
83
999
0
19 Jul 2019
Individual Regret in Cooperative Nonstochastic Multi-Armed Bandits
Individual Regret in Cooperative Nonstochastic Multi-Armed Bandits
Yogev Bar-On
Yishay Mansour
67
42
0
07 Jul 2019
Cooperative Online Learning: Keeping your Neighbors Updated
Cooperative Online Learning: Keeping your Neighbors Updated
Nicolò Cesa-Bianchi
Tommaso Cesari
C. Monteleoni
61
35
0
23 Jan 2019
Bandit Online Learning with Unknown Delays
Bandit Online Learning with Unknown Delays
Bingcong Li
Tianyi Chen
G. Giannakis
48
45
0
09 Jul 2018
A Distributed Flexible Delay-tolerant Proximal Gradient Algorithm
A Distributed Flexible Delay-tolerant Proximal Gradient Algorithm
Konstantin Mishchenko
F. Iutzeler
J. Malick
68
22
0
25 Jun 2018
A Modular Analysis of Adaptive (Non-)Convex Optimization: Optimism,
  Composite Objectives, and Variational Bounds
A Modular Analysis of Adaptive (Non-)Convex Optimization: Optimism, Composite Objectives, and Variational Bounds
Pooria Joulani
András Gyorgy
Csaba Szepesvári
44
42
0
08 Sep 2017
Stochastic Bandit Models for Delayed Conversions
Stochastic Bandit Models for Delayed Conversions
Claire Vernade
Olivier Cappé
Vianney Perchet
50
95
0
28 Jun 2017
Stochastic Composite Least-Squares Regression with convergence rate
  O(1/n)
Stochastic Composite Least-Squares Regression with convergence rate O(1/n)
Nicolas Flammarion
Francis R. Bach
73
27
0
21 Feb 2017
Analysis and Implementation of an Asynchronous Optimization Algorithm
  for the Parameter Server
Analysis and Implementation of an Asynchronous Optimization Algorithm for the Parameter Server
Arda Aytekin
Hamid Reza Feyzmahdavian
M. Johansson
135
54
0
18 Oct 2016
Distributed Online Optimization in Dynamic Environments Using Mirror
  Descent
Distributed Online Optimization in Dynamic Environments Using Mirror Descent
Shahin Shahrampour
Ali Jadbabaie
249
282
0
09 Sep 2016
Learning in games with continuous action sets and unknown payoff
  functions
Learning in games with continuous action sets and unknown payoff functions
P. Mertikopoulos
Zhengyuan Zhou
70
266
0
25 Aug 2016
ASAGA: Asynchronous Parallel SAGA
ASAGA: Asynchronous Parallel SAGA
Rémi Leblond
Fabian Pedregosa
Simon Lacoste-Julien
AI4TS
67
101
0
15 Jun 2016
Delay and Cooperation in Nonstochastic Bandits
Delay and Cooperation in Nonstochastic Bandits
Nicolò Cesa-Bianchi
Claudio Gentile
Yishay Mansour
Alberto Minora
73
146
0
15 Feb 2016
Perturbed Iterate Analysis for Asynchronous Stochastic Optimization
Perturbed Iterate Analysis for Asynchronous Stochastic Optimization
Horia Mania
Xinghao Pan
Dimitris Papailiopoulos
Benjamin Recht
Kannan Ramchandran
Michael I. Jordan
106
233
0
24 Jul 2015
ARock: an Algorithmic Framework for Asynchronous Parallel Coordinate
  Updates
ARock: an Algorithmic Framework for Asynchronous Parallel Coordinate Updates
Zhimin Peng
Yangyang Xu
Ming Yan
W. Yin
91
258
0
08 Jun 2015
A continuous-time approach to online optimization
A continuous-time approach to online optimization
Joon Kwon
P. Mertikopoulos
CLL
70
52
0
27 Jan 2014
Optimization, Learning, and Games with Predictable Sequences
Optimization, Learning, and Games with Predictable Sequences
Alexander Rakhlin
Karthik Sridharan
111
381
0
08 Nov 2013
Online Learning under Delayed Feedback
Online Learning under Delayed Feedback
Pooria Joulani
András Gyorgy
Csaba Szepesvári
104
281
0
04 Jun 2013
Distributed Autonomous Online Learning: Regrets and Intrinsic
  Privacy-Preserving Properties
Distributed Autonomous Online Learning: Regrets and Intrinsic Privacy-Preserving Properties
Feng Yan
S. Sundaram
S. V. N. Vishwanathan
Y. Qi
95
270
0
21 Jun 2010
Adaptive Bound Optimization for Online Convex Optimization
Adaptive Bound Optimization for Online Convex Optimization
H. B. McMahan
Matthew J. Streeter
ODL
119
391
0
26 Feb 2010
Slow Learners are Fast
Slow Learners are Fast
John Langford
Alex Smola
Martin A. Zinkevich
116
391
0
03 Nov 2009
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