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On the Sample Complexity of Representation Learning in Multi-task
  Bandits with Global and Local structure

On the Sample Complexity of Representation Learning in Multi-task Bandits with Global and Local structure

28 November 2022
Alessio Russo
Alexandre Proutiere
ArXiv (abs)PDFHTML

Papers citing "On the Sample Complexity of Representation Learning in Multi-task Bandits with Global and Local structure"

8 / 8 papers shown
Title
Meta-Learning for Simple Regret Minimization
Meta-Learning for Simple Regret Minimization
Javad Azizi
Branislav Kveton
Mohammad Ghavamzadeh
S. Katariya
67
10
0
25 Feb 2022
Impact of Representation Learning in Linear Bandits
Impact of Representation Learning in Linear Bandits
Jiaqi Yang
Wei Hu
Jason D. Lee
S. Du
77
53
0
13 Oct 2020
Low-Rank Generalized Linear Bandit Problems
Low-Rank Generalized Linear Bandit Problems
Yangyi Lu
A. Meisami
Ambuj Tewari
53
45
0
04 Jun 2020
Meta-learning with Stochastic Linear Bandits
Meta-learning with Stochastic Linear Bandits
Leonardo Cella
A. Lazaric
Massimiliano Pontil
FedML
55
57
0
18 May 2020
Mixture Martingales Revisited with Applications to Sequential Tests and
  Confidence Intervals
Mixture Martingales Revisited with Applications to Sequential Tests and Confidence Intervals
E. Kaufmann
Wouter M. Koolen
90
123
0
28 Nov 2018
Multi-Task Learning for Contextual Bandits
Multi-Task Learning for Contextual Bandits
A. Deshmukh
Ürün Dogan
Clayton Scott
128
94
0
24 May 2017
On the Complexity of Best Arm Identification in Multi-Armed Bandit
  Models
On the Complexity of Best Arm Identification in Multi-Armed Bandit Models
E. Kaufmann
Olivier Cappé
Aurélien Garivier
204
1,028
0
16 Jul 2014
The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond
The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond
Aurélien Garivier
Olivier Cappé
186
615
0
12 Feb 2011
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