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  3. 1510.03164
  4. Cited By

Context-Aware Bandits

12 October 2015
Shuai Li
Purushottam Kar
ArXivPDFHTML

Papers citing "Context-Aware Bandits"

11 / 11 papers shown
Title
Distributed Clustering of Linear Bandits in Peer to Peer Networks
Distributed Clustering of Linear Bandits in Peer to Peer Networks
N. Korda
Balazs Szorenyi
Shuai Li
FedML
55
165
0
26 Apr 2016
Cheap Bandits
Cheap Bandits
M. Hanawal
Venkatesh Saligrama
Michal Valko
Rémi Munos
40
30
0
15 Jun 2015
Cascading Bandits: Learning to Rank in the Cascade Model
Cascading Bandits: Learning to Rank in the Cascade Model
Branislav Kveton
Csaba Szepesvári
Zheng Wen
Azin Ashkan
155
284
0
10 Feb 2015
A Latent Source Model for Online Collaborative Filtering
A Latent Source Model for Online Collaborative Filtering
Guy Bresler
George H. Chen
Devavrat Shah
FedML
143
59
0
31 Oct 2014
Online Clustering of Bandits
Online Clustering of Bandits
Claudio Gentile
Shuai Li
Giovanni Zappella
85
264
0
31 Jan 2014
Sample Complexity of Multi-task Reinforcement Learning
Sample Complexity of Multi-task Reinforcement Learning
Emma Brunskill
Lihong Li
73
138
0
26 Sep 2013
Sequential Transfer in Multi-armed Bandit with Finite Set of Models
Sequential Transfer in Multi-armed Bandit with Finite Set of Models
M. G. Azar
A. Lazaric
Emma Brunskill
OffRL
133
114
0
25 Jul 2013
A Gang of Bandits
A Gang of Bandits
Nicolò Cesa-Bianchi
Claudio Gentile
Giovanni Zappella
82
161
0
04 Jun 2013
Sample-efficient Nonstationary Policy Evaluation for Contextual Bandits
Sample-efficient Nonstationary Policy Evaluation for Contextual Bandits
Miroslav Dudík
D. Erhan
John Langford
Lihong Li
OffRL
125
38
0
16 Oct 2012
Hierarchical Exploration for Accelerating Contextual Bandits
Hierarchical Exploration for Accelerating Contextual Bandits
Yisong Yue
S. Hong
Carlos Guestrin
60
51
0
27 Jun 2012
A Contextual-Bandit Approach to Personalized News Article Recommendation
A Contextual-Bandit Approach to Personalized News Article Recommendation
Lihong Li
Wei Chu
John Langford
Robert Schapire
388
2,944
0
28 Feb 2010
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