MArBLE: Hierarchical Multi-Armed Bandits for Human-in-the-Loop Set Expansion

Author:

Wahed Muntasir1ORCID,Gruhl Daniel2ORCID,Lourentzou Ismini1ORCID

Affiliation:

1. Virginia Tech, Blacksburg, VA, USA

2. IBM Almaden Research Center, San Jose, CA, USA

Funder

National Science Foundation

Publisher

ACM

Reference46 articles.

1. Alfredo Alba , Anni Coden , Anna Lisa Gentile , Daniel Gruhl, Petar Ristoski, and Steve Welch. 2017 . Multi-lingual concept extraction with linked data and humanin- the-loop. In K-CAP. 1--8. Alfredo Alba, Anni Coden, Anna Lisa Gentile, Daniel Gruhl, Petar Ristoski, and Steve Welch. 2017. Multi-lingual concept extraction with linked data and humanin- the-loop. In K-CAP. 1--8.

2. Peter Auer . 2002. Using confidence bounds for exploitation-exploration trade-offs. JMLR Nov ( 2002 ), 397--422. Peter Auer. 2002. Using confidence bounds for exploitation-exploration trade-offs. JMLR Nov (2002), 397--422.

3. Peter Auer , Nicolo Cesa-Bianchi , and Paul Fischer . 2002. Finite-time analysis of the multiarmed bandit problem. Machine learning 47, 2 ( 2002 ), 235--256. Peter Auer, Nicolo Cesa-Bianchi, and Paul Fischer. 2002. Finite-time analysis of the multiarmed bandit problem. Machine learning 47, 2 (2002), 235--256.

4. A survey on active learning and human-in-the-loop deep learning for medical image analysis

5. Deepayan Chakrabarti Ravi Kumar Filip Radlinski and Eli Upfal. 2008. Mortal multi-armed bandits. In NeurIPS. Deepayan Chakrabarti Ravi Kumar Filip Radlinski and Eli Upfal. 2008. Mortal multi-armed bandits. In NeurIPS.

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