arXiv Machine Learning By Ryoya Yamasaki

Isotonic Bradley-Terry Model for Paired Comparison Data

Read the original on arXiv Machine Learning →

arXiv:2608. 02081v1 Announce Type: new Abstract: In this paper, we study prediction problems for paired comparison data, for example, predicting the win probability between two unmatched players and ranking all the players according to the order of their strengths by using win probability data between two matched players.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

arXiv AI
Jun 8

Bounded-Abstention Pairwise Learning to Rank

arXiv:2505. 23437v2 Announce Type: replace-cross Abstract: Ranking systems influence decision-making in high-stakes domains like health, education, and employment, where they can have substantial economic and social impacts.

By Antonio Ferrara, Andrea Pugnana, Francesco Bonchi, Salvatore Ruggieri