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Adapting to Misspecification in Contextual Bandits

Adapting to Misspecification in Contextual Bandits

12 July 2021
Dylan J. Foster
Claudio Gentile
M. Mohri
Julian Zimmert
ArXiv (abs)PDFHTML

Papers citing "Adapting to Misspecification in Contextual Bandits"

11 / 61 papers shown
Efficient First-Order Contextual Bandits: Prediction, Allocation, and
  Triangular Discrimination
Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination
Dylan J. Foster
A. Krishnamurthy
184
53
0
05 Jul 2021
Bayesian decision-making under misspecified priors with applications to
  meta-learning
Bayesian decision-making under misspecified priors with applications to meta-learning
Max Simchowitz
Christopher Tosh
A. Krishnamurthy
Daniel J. Hsu
Thodoris Lykouris
Miroslav Dudík
Robert Schapire
217
55
0
03 Jul 2021
On component interactions in two-stage recommender systems
On component interactions in two-stage recommender systemsNeural Information Processing Systems (NeurIPS), 2021
Jiri Hron
K. Krauth
Sai Li
Niki Kilbertus
CMLLRM
203
35
0
28 Jun 2021
Pure Exploration in Kernel and Neural Bandits
Pure Exploration in Kernel and Neural BanditsNeural Information Processing Systems (NeurIPS), 2021
Yinglun Zhu
Dongruo Zhou
Ruoxi Jiang
Quanquan Gu
Rebecca Willett
Robert D. Nowak
152
16
0
22 Jun 2021
Towards Costless Model Selection in Contextual Bandits: A Bias-Variance
  Perspective
Towards Costless Model Selection in Contextual Bandits: A Bias-Variance PerspectiveInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Sanath Kumar Krishnamurthy
Adrienne Margaret Propp
Susan Athey
267
3
0
11 Jun 2021
Feature and Parameter Selection in Stochastic Linear Bandits
Feature and Parameter Selection in Stochastic Linear BanditsInternational Conference on Machine Learning (ICML), 2021
Ahmadreza Moradipari
Berkay Turan
Yasin Abbasi-Yadkori
M. Alizadeh
Mohammad Ghavamzadeh
390
6
0
09 Jun 2021
Leveraging Good Representations in Linear Contextual Bandits
Leveraging Good Representations in Linear Contextual BanditsInternational Conference on Machine Learning (ICML), 2021
Matteo Papini
Andrea Tirinzoni
Marcello Restelli
A. Lazaric
Matteo Pirotta
170
31
0
08 Apr 2021
Pareto Optimal Model Selection in Linear Bandits
Pareto Optimal Model Selection in Linear BanditsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Yinglun Zhu
Robert D. Nowak
212
14
0
12 Feb 2021
Regret Bound Balancing and Elimination for Model Selection in Bandits
  and RL
Regret Bound Balancing and Elimination for Model Selection in Bandits and RL
Aldo Pacchiano
Christoph Dann
Claudio Gentile
Peter L. Bartlett
291
53
0
24 Dec 2020
Tractable contextual bandits beyond realizability
Tractable contextual bandits beyond realizabilityInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Sanath Kumar Krishnamurthy
Vitor Hadad
Susan Athey
225
8
0
25 Oct 2020
Context-Based Dynamic Pricing with Online Clustering
Context-Based Dynamic Pricing with Online Clustering
Sentao Miao
Xi Chen
X. Chao
Jiaxi Liu
Yidong Zhang
283
38
0
17 Feb 2019
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