optimal arm
Covariance adaptive best arm identification
The learner's goal is to identify the optimal arm
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Structural Causal Bandits: Where to Intervene?
Sanghack Lee, Elias Bareinboim
Neural Information Processing Systems http://nips.cc/
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- North America > Canada > Quebec > Montreal (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
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- Instructional Material (0.46)
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Adaptive Algorithms for Relaxed Pareto Set Identification
In this paper we revisit the fixed-confidence identification of the Pareto optimal set in a multi-objective multi-armed bandit model.
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- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- Europe > France > Nouvelle-Aquitaine > Gironde > Bordeaux (0.04)
- Europe > France > Hauts-de-France > Nord > Lille (0.04)
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Nonparametric Contextual Bandits in Metric Spaces with Unknown Metric
Nirandika Wanigasekara, Christina Yu
Neural Information Processing Systems http://nips.cc/
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- Asia > Singapore (0.04)
- North America > Canada (0.04)
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Multi-Fidelity Multi-Armed Bandits Revisited
The formal definition of MF-MAB is presented in Section 2. 1.1 Contributions
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- Asia > China > Hong Kong (0.04)
- North America > United States > Pennsylvania (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
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- Information Technology > Artificial Intelligence > Machine Learning (1.00)
- Information Technology > Data Science > Data Mining > Big Data (0.83)
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- North America > United States > California > San Diego County > San Diego (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
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- North America > United States > California > San Diego County > San Diego (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
Personalizing Many Decisions with High-Dimensional Covariates
Nima Hamidi, Mohsen Bayati, Kapil Gupta
Neural Information Processing Systems http://nips.cc/
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- North America > United States > California > Santa Clara County > Palo Alto (0.04)
- North America > Canada (0.04)
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- Information Technology > Artificial Intelligence > Machine Learning (1.00)
- Information Technology > Data Science > Data Mining > Big Data (0.94)