A Newman-style iterative solver for Plackett-Luce rankings is derived and shown to converge in fewer iterations, but the headline claim that multi-body PL beats pairwise projections rests on an invalid likelihood comparison.
Newman, Journal of Machine Learning Research 24, 1 (2023)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
physics.soc-ph 1years
2025 1verdicts
REJECT 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Efficient inference of rankings from multi-body comparisons
A Newman-style iterative solver for Plackett-Luce rankings is derived and shown to converge in fewer iterations, but the headline claim that multi-body PL beats pairwise projections rests on an invalid likelihood comparison.