Human Preferences as Dueling Bandits

Author:

Yan Xinyi1,Luo Chengxi1,Clarke Charles L. A.1,Craswell Nick2,Voorhees Ellen M.3,Castells Pablo4

Affiliation:

1. University of Waterloo, Waterloo, ON, Canada

2. Microsoft, Bellevue, WA, USA

3. National Institute of Standards and Technology, Gaithersburg, MD, USA

4. Universidad Autónoma de Madrid, Madrid, Spain

Funder

Natural Science and Engineering Research Council of Canada

Publisher

ACM

Reference42 articles.

1. Mustafa Abualsaud , Nimesh Ghelani , Haotian Zhang , Mark D. Smucker , Gordon V. Cormack , and Maura R. Grossman . 2018. A system for efficient high-recall retrieval . In 41st International ACM SIGIR Conference on Research and Development in Information Retrieval. 1317--1320 . Mustafa Abualsaud, Nimesh Ghelani, Haotian Zhang, Mark D. Smucker, Gordon V. Cormack, and Maura R.Grossman. 2018. A system for efficient high-recall retrieval. In 41st International ACM SIGIR Conference on Research and Development in Information Retrieval. 1317--1320.

2. Negar Arabzadeh , Alexandra Vtyurina , Xinyi Yan , and Charles L. A . Clarke . 2021 . Shallow pooling for sparse labels. CoRR abs/2109.00062 (2021). Negar Arabzadeh, Alexandra Vtyurina, Xinyi Yan, and Charles L. A. Clarke. 2021. Shallow pooling for sparse labels. CoRR abs/2109.00062 (2021).

3. Document Comprehensiveness and User Preferences in Novelty Search Tasks

4. Preference-based online learning with dueling bandits: A survey;Bengs Viktor;Journal of Machine Learning Research,2021

5. Chris Buckley and Ellen M. Voorhees . 2004. Retrieval evaluation with incomplete information . In 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. 25--32 . Chris Buckley and Ellen M. Voorhees. 2004. Retrieval evaluation with incomplete information. In 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. 25--32.

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