Web: http://arxiv.org/abs/2110.14802

June 20, 2022, 1:11 a.m. | Weijie J. Su

cs.LG updates on arXiv.org arxiv.org

I consider a setting where reviewers offer very noisy scores for several
items for the selection of high-quality ones (e.g., peer review of large
conference proceedings), whereas the owner of these items knows the true
underlying scores but prefers not to provide this information. To address this
withholding of information, in this paper, I introduce the Isotonic Mechanism,
a simple and efficient approach to improving imprecise raw scores by leveraging
certain information that the owner is incentivized to provide. This …

arxiv lg scoring

More from arxiv.org / cs.LG updates on arXiv.org

Machine Learning Researcher - Saalfeld Lab

@ Howard Hughes Medical Institute - Chevy Chase, MD | Ashburn, Virginia

Project Director, Machine Learning in US Health

@ ideas42.org | Remote, US

Data Science Intern

@ NannyML | Remote

Machine Learning Engineer NLP/Speech

@ Play.ht | Remote

Research Scientist, 3D Reconstruction

@ Yembo | Remote, US

Clinical Assistant or Associate Professor of Management Science and Systems

@ University at Buffalo | Buffalo, NY