Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles

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Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles

3 March 2017

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

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Title
Linear Bandits with Partially Observable Features Wonyoung Hedge Kim Sungwoo Park G. Iyengar A. Zeevi Min Hwan Oh 196 1 0 10 Feb 2025
Handling Missing Data with Graph Representation Learning Jiaxuan You Xiaobai Ma D. Ding Mykel Kochenderfer J. Leskovec 76 182 0 30 Oct 2020
Locally Differentially Private (Contextual) Bandits Learning Kai Zheng Tianle Cai Weiran Huang Zhenguo Li Liwei Wang 90 66 0 01 Jun 2020
Adversarial Attacks on Linear Contextual Bandits Evrard Garcelon Baptiste Roziere Laurent Meunier Jean Tarbouriech O. Teytaud A. Lazaric Matteo Pirotta AAML 56 50 0 10 Feb 2020
Stochastic Bandits with Context Distributions Johannes Kirschner Andreas Krause 55 30 0 06 Jun 2019
Differentially Private Contextual Linear Bandits R. Shariff Or Sheffet 81 120 0 28 Sep 2018
High-dimensional covariance matrix estimation with missing observations Karim Lounici 284 183 0 12 Jan 2012
A tail inequality for quadratic forms of subgaussian random vectors Daniel J. Hsu Sham Kakade Tong Zhang 150 422 0 13 Oct 2011
High-dimensional regression with noisy and missing data: Provable guarantees with nonconvexity Po-Ling Loh Martin J. Wainwright 131 562 0 16 Sep 2011