<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Mallows on Øystein Sørensen</title><link>https://osorensen.no/tags/mallows/</link><description>Recent content in Mallows on Øystein Sørensen</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 18 Oct 2024 00:00:00 +0000</lastBuildDate><atom:link href="https://osorensen.no/tags/mallows/index.xml" rel="self" type="application/rss+xml"/><item><title>Probabilistic preference learning with the Mallows rank model</title><link>https://osorensen.no/papers/paper3/</link><pubDate>Sun, 01 Apr 2018 00:00:00 +0000</pubDate><guid>https://osorensen.no/papers/paper3/</guid><description>This paper studies the analysis of rank and preference data. We consider both complete rankings, partial rankings, and pairwise preferences. We develop a complete Bayesian framework for estimating Mallows&amp;rsquo; rank model in all this cases, including clustering of users with similar preferences and preference prediction. Published in Journal of Machine Learning Research. Joint first authorship with Valeria Vitelli.</description></item></channel></rss>