arXiv Open Access 2014

Most Correlated Arms Identification

Che-Yu Liu Sébastien Bubeck

Lihat Sumber

Abstrak

We study the problem of finding the most mutually correlated arms among many arms. We show that adaptive arms sampling strategies can have significant advantages over the non-adaptive uniform sampling strategy. Our proposed algorithms rely on a novel correlation estimator. The use of this accurate estimator allows us to get improved results for a wide range of problem instances.

Topik & Kata Kunci

stat.ML cs.LG

Penulis (2)

Che-Yu Liu

Sébastien Bubeck

Format Sitasi

APA MLA BibTeX

Liu, C., Bubeck, S. (2014). Most Correlated Arms Identification. https://arxiv.org/abs/1404.5903

Akses Cepat

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Informasi Jurnal

Tahun Terbit: 2014
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓