Article

Dirichlet process mixtures of generalized mallows models

Authors:

Harr ChenAuthors Info & Claims

UAI'10: Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence

Pages 358 - 367

Published: 08 July 2010 Publication History

Abstract

We present a Dirichlet process mixture model over discrete incomplete rankings and study two Gibbs sampling inference techniques for estimating posterior clusterings. The first approach uses a slice sampling subcomponent for estimating cluster parameters. The second approach marginalizes out several cluster parameters by taking advantage of approximations to the conditional posteriors. We empirically demonstrate (1) the effectiveness of this approximation for improving convergence, (2) the benefits of the Dirichlet process model over alternative clustering techniques for ranked data, and (3) the applicability of the approach to exploring large real-world ranking datasets.

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Cited By

Yu PGu JXu H(2019)Analysis of ranking dataWIREs Computational Statistics10.1002/wics.148311:6Online publication date: 10-Oct-2019
https://dl.acm.org/doi/10.1002/wics.1483
Vitelli VSørensen ØCrispino MFrigessi AArjas E(2017)Probabilistic preference learning with the mallows rank modelThe Journal of Machine Learning Research10.5555/3122009.324201518:1(5796-5844)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.5555/3122009.3242015
Doucette JCohen RLarson KWinikoff MDas SDurfee E(2017)A Restricted Markov Tree Model for Inference and Generation in Social Choice with Incomplete PreferencesProceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems10.5555/3091125.3091251(893-901)Online publication date: 8-May-2017
https://dl.acm.org/doi/10.5555/3091125.3091251
Show More Cited By

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Dirichlet process mixtures of generalized mallows models
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Published In

cover image Guide Proceedings

UAI'10: Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence

July 2010

751 pages

ISBN:9780974903965

Editors:
Peter Grunwald
Advanced Systems Research, CWI, Amsterdam, Netherlands
,
Peter Spirtes
Department of Philosophy, Carnegie Mellon University, Pittsburgh, PA

Publisher

AUAI Press

Arlington, Virginia, United States

Publication History

Published: 08 July 2010

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Cited By

Yu PGu JXu H(2019)Analysis of ranking dataWIREs Computational Statistics10.1002/wics.148311:6Online publication date: 10-Oct-2019
https://dl.acm.org/doi/10.1002/wics.1483
Vitelli VSørensen ØCrispino MFrigessi AArjas E(2017)Probabilistic preference learning with the mallows rank modelThe Journal of Machine Learning Research10.5555/3122009.324201518:1(5796-5844)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.5555/3122009.3242015
Doucette JCohen RLarson KWinikoff MDas SDurfee E(2017)A Restricted Markov Tree Model for Inference and Generation in Social Choice with Incomplete PreferencesProceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems10.5555/3091125.3091251(893-901)Online publication date: 8-May-2017
https://dl.acm.org/doi/10.5555/3091125.3091251
Lu TTang PProcaccia ABoutilier C(2012)Bayesian vote manipulationProceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence10.5555/3020652.3020710(543-553)Online publication date: 14-Aug-2012
https://dl.acm.org/doi/10.5555/3020652.3020710

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