Bayesian Active Learning in the Presence of Nuisance Parameters

In many settings, such as scientific inference, optimization, and transfer learning, the learner has a well-defined objective, which can be treated as estimation of a target parameter, and no intrinsic interest in characterizing the entire data-generating process. Usually, the learner must also cont...

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Veröffentlicht in:	arXiv.org 2024-06
Hauptverfasser:	Sloman, Sabina J, Bharti, Ayush, Martinelli, Julien, Kaski, Samuel
Format:	Artikel
Sprache:	eng
Schlagworte:	Active learning Bayesian analysis Design of experiments Machine learning Parameter identification
Online-Zugang:	Volltext
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