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Dynamic Ranking and Translation Synchronization. (arXiv:2207.01455v1 [math.ST])
July 5, 2022, 1:12 a.m. | Ernesto Araya, Eglantine Karlé, Hemant Tyagi
stat.ML updates on arXiv.org arxiv.org
In many applications, such as sport tournaments or recommendation systems, we
have at our disposal data consisting of pairwise comparisons between a set of
$n$ items (or players). The objective is to use this data to infer the latent
strength of each item and/or their ranking. Existing results for this problem
predominantly focus on the setting consisting of a single comparison graph $G$.
However, there exist scenarios (e.g., sports tournaments) where the the
pairwise comparison data evolves with time. Theoretical …
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