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Coordinated Attacks against Contextual Bandits: Fundamental Limits and
  Defense Mechanisms

Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms

International Conference on Machine Learning (ICML), 2022
30 January 2022
Jeongyeol Kwon
Yonathan Efroni
Constantine Caramanis
Shie Mannor
    AAML
ArXiv (abs)PDFHTMLGithub

Papers citing "Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms"

4 / 4 papers shown
Prospective Side Information for Latent MDPs
Prospective Side Information for Latent MDPsInternational Conference on Machine Learning (ICML), 2023
Jeongyeol Kwon
Yonathan Efroni
Shie Mannor
Constantine Caramanis
384
7
0
11 Oct 2023
Byzantine-Resilient Decentralized Multi-Armed Bandits
Byzantine-Resilient Decentralized Multi-Armed Bandits
Jingxuan Zhu
Alec Koppel
Alvaro Velasquez
Ji Liu
479
8
0
11 Oct 2023
Tractable Optimality in Episodic Latent MABs
Tractable Optimality in Episodic Latent MABsNeural Information Processing Systems (NeurIPS), 2022
Jeongyeol Kwon
Yonathan Efroni
Constantine Caramanis
Shie Mannor
323
3
0
05 Oct 2022
Reward-Mixing MDPs with a Few Latent Contexts are Learnable
Reward-Mixing MDPs with a Few Latent Contexts are Learnable
Jeongyeol Kwon
Yonathan Efroni
Constantine Caramanis
Shie Mannor
213
5
0
05 Oct 2022
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