Uncertainty in Artificial Intelligence
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Amir Globerson
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Publications in UAI

UAI-2014
:: Lifted Message Passing as Reparametrization of Graphical Models
:: Tightness Results for Local Consistency Relaxations in Continuous MRFs

UAI-2013
:: Tighter Linear Program Relaxations for High Order Graphical Models
:: Learning Max-Margin Tree Predictors

UAI-2011
:: What Cannot be Learned with Bethe Approximations

UAI-2009
:: Convexifying the Bethe Free Energy
:: Convergent message passing algorithms - a unifying view

UAI-2008
:: Tightening LP Relaxations for MAP using Message Passing

UAI-2007
:: Convergent Propagation Algorithms via Oriented Trees

UAI-2006
:: Discriminative Learning via Semidefinite Probabilistic Models

UAI-2004
:: The Minimum Information Principle for Discriminative Learning

UAI-2003
:: Sufficient Dimensionality Reduction with Irrelevant Statistics


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