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The Isotonic Mechanism for Exponential Family Estimation. (arXiv:2304.11160v1 [math.ST])
cs.LG updates on arXiv.org arxiv.org
In 2023, the International Conference on Machine Learning (ICML) required
authors with multiple submissions to rank their submissions based on perceived
quality. In this paper, we aim to employ these author-specified rankings to
enhance peer review in machine learning and artificial intelligence conferences
by extending the Isotonic Mechanism (Su, 2021, 2022) to exponential family
distributions. This mechanism generates adjusted scores closely align with the
original scores while adhering to author-specified rankings. Despite its
applicability to a broad spectrum of exponential …
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