You Are the Best Reviewer of Your Own Papers: An Owner-Assisted Scoring Mechanism. (arXiv:2110.14802v2 [cs.LG] UPDATED)

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