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On the Optimal Regret of Locally Private Linear Contextual ...
arXiv
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由 J Li 著作2024 — Contextual bandit with linear reward functions is among one of the most extensively studied models in bandit and online learning research.
On the Optimal Regret of Locally Private Linear Contextual ...
arXiv
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arXiv
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由 J Li 著作2024 — ... optimal regret of locally private contextual bandits. 5.1 ... e-companion to Li et al.: Optimal Locally Private Linear Contextual Bandit.
On the Optimal Regret of Locally Private Linear Contextual ...
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2024年8月14日 — Jiachun Li, David Simchi-Levi, Yining Wang: On the Optimal Regret of Locally Private Linear Contextual Bandit. CoRR abs/2404.09413 (2024).
On the Optimal Regret of Locally Private Linear Contextual ...
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On the Optimal Regret of Locally Private Linear Contextual Bandit · 简介. 线性奖励函数的上下文赌博是赌博和在线学习研究中最广泛研究的模型之一。 · 图表 · 解决问题.
Improved rate for Locally Differentially Private Linear Bandits
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2024年4月8日 — ... optimal regret for linear bandit as mentioned in the second paragraph of section 1. ... Differentially private contextual linear bandits.
Locally Differentially Private (Contextual) Bandits Learning
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由 K Zheng 著作2020被引用 61 次 — First, we propose simple black-box reduction frameworks that can solve a large family of context-free bandits learning problems with LDP guarantee. Based on our ...
Shuffle Private Linear Contextual Bandits
Proceedings of Machine Learning Research
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Proceedings of Machine Learning Research
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No-regret algorithms for private gaussian process bandit optimization. In International Conference on Arti- ficial Intelligence and Statistics, pp. 2062–2070.
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[PDF] Differentially Private Contextual Linear Bandits
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Contextual Bandits with Linear Payoff Functions · Stochastic Linear Optimization under Bandit Feedback · Algorithms for Differentially Private Multi-Armed Bandits.
Locally Differentially Private (Contextual) Bandits Learning
ResearchGate
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Further, we also extend our algorithm to Generalized Linear Bandits with regret ... Optimal Regret Algorithm for Pseudo-1d Bandit Convex Optimization. February ...
On Differentially Private Federated Linear Contextual Bandits
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由 X Zhou 著作被引用 13 次 — Private bandit learning has recently received increasing attention under various notion of DP. For multi-armed bandits. (MAB) where rewards are the sensitive ...
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