Conditional independence and graphical models for rankings
arXiv:2611.04586v1 Announce Type: new Abstract: Ranking models define probability distributions over rankings and are fundamental in applications such as preference learning and decision-making. Without structural assumptions, these models are intractable due to their factorial complexity. Although…
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- 2026-11-04 05:00 · arXiv stat.ML
Conditional independence and graphical models for rankings