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Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles
v1v2v3 (latest)

Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles

3 March 2017
Jung-hun Kim
Se-Young Yun
Minchan Jeong
J. Nam
Jinwoo Shin
Richard Combes
ArXiv (abs)PDFHTML

Papers citing "Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles"

2 / 2 papers shown
Title
Linear Bandits with Partially Observable Features
Linear Bandits with Partially Observable Features
Wonyoung Hedge Kim
Sungwoo Park
G. Iyengar
A. Zeevi
Min Hwan Oh
208
1
0
10 Feb 2025
Distributed Multi-Task Learning for Stochastic Bandits with Context Distribution and Stage-wise Constraints
Distributed Multi-Task Learning for Stochastic Bandits with Context Distribution and Stage-wise Constraints
Jiabin Lin
Shana Moothedath
94
1
0
21 Jan 2024
1