Exploration in Linear Bandits with Rich Action Sets and its Implications
for Inference

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Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference

23 July 2022

Debangshu Banerjee

Sayak Ray Chowdhury

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Papers citing "Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference"

16 / 16 papers shown

Title
Model Selection for Generic Contextual Bandits Avishek Ghosh Abishek Sankararaman Kannan Ramchandran 64 6 0 07 Jul 2021
Regret Bound Balancing and Elimination for Model Selection in Bandits and RL Aldo Pacchiano Christoph Dann Claudio Gentile Peter L. Bartlett 87 49 0 24 Dec 2020
Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits Avishek Ghosh Abishek Sankararaman Kannan Ramchandran 64 34 0 04 Jun 2020
Adaptive Exploration in Linear Contextual Bandit Botao Hao Tor Lattimore Csaba Szepesvári 164 74 0 15 Oct 2019
Model selection for contextual bandits Dylan J. Foster A. Krishnamurthy Haipeng Luo OffRL 206 90 0 03 Jun 2019
OSOM: A simultaneously optimal algorithm for multi-armed and linear contextual bandits Niladri S. Chatterji Vidya Muthukumar Peter L. Bartlett 71 46 0 24 May 2019
On Kernelized Multi-armed Bandits Sayak Ray Chowdhury Aditya Gopalan 127 463 0 03 Apr 2017
Corralling a Band of Bandit Algorithms Alekh Agarwal Haipeng Luo Behnam Neyshabur Robert Schapire 164 157 0 19 Dec 2016
The End of Optimism? An Asymptotic Analysis of Finite-Armed Linear Bandits Tor Lattimore Csaba Szepesvári 162 105 0 14 Oct 2016
An Introduction to Matrix Concentration Inequalities J. Tropp 178 1,155 0 07 Jan 2015
Best-Arm Identification in Linear Bandits Marta Soare A. Lazaric Rémi Munos 98 182 0 22 Sep 2014
On the Complexity of Best Arm Identification in Multi-Armed Bandit Models E. Kaufmann Olivier Cappé Aurélien Garivier 209 1,028 0 16 Jul 2014
Online Clustering of Bandits Claudio Gentile Shuai Li Giovanni Zappella 168 267 0 31 Jan 2014
Finite-Time Analysis of Kernelised Contextual Bandits Michal Valko N. Korda Rémi Munos I. Flaounas N. Cristianini 201 275 0 26 Sep 2013
Thompson Sampling for Contextual Bandits with Linear Payoffs Shipra Agrawal Navin Goyal 211 1,006 0 15 Sep 2012
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design Niranjan Srinivas Andreas Krause Sham Kakade Matthias Seeger 181 1,626 0 21 Dec 2009

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