The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review.

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Bibliographic Details
Title: The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review.
Authors: Su, Buxin1 (AUTHOR), Zhang, Jiayao1 (AUTHOR), Collina, Natalie2 (AUTHOR), Yan, Yuling3 (AUTHOR), Li, Didong4 (AUTHOR), Cho, Kyunghyun5 (AUTHOR), Fan, Jianqing6 (AUTHOR), Roth, Aaron2 (AUTHOR), Su, Weijie1 (AUTHOR) suw@wharton.upenn.edu
Source: Journal of the American Statistical Association. May2025, p1-12. 12p. 6 Illustrations.
Database: Business Source Ultimate
Description
ISSN:01621459
DOI:10.1080/01621459.2025.2510006