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Tue Dec 09 03:20 PM -- 03:21 PM (PST)
Clusters and Coarse Partitions in LP Relaxations
David Sontag · Amir Globerson · Tommi Jaakkola
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Tue Dec 09 03:21 PM -- 03:22 PM (PST)
Improved Moves for Truncated Convex Models
Pawan K Mudigonda · Philip Torr
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Tue Dec 09 03:22 PM -- 03:23 PM (PST)
Learning Bounded Treewidth Bayesian Networks
Gal Elidan · Stephen Gould
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Tue Dec 09 03:23 PM -- 03:24 PM (PST)
Bayesian Network Score Approximation using a Metagraph Kernel
Benjamin Yackley · Eduardo Corona · Terran Lane
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Tue Dec 09 03:24 PM -- 03:25 PM (PST)
Near-minimax recursive density estimation on the binary hypercube
Maxim Raginsky · Svetlana Lazebnik · Rebecca Willett · Jorge G Silva
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Tue Dec 09 03:25 PM -- 03:26 PM (PST)
Bounds on marginal probability distributions
Joris M Mooij · Hilbert J Kappen
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Tue Dec 09 03:26 PM -- 03:27 PM (PST)
Posterior Consistency of the Silverman g-prior in Bayesian Model Choice
Zhihua Zhang · Michael Jordan · Dit-Yan Yeung
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Tue Dec 09 03:27 PM -- 03:28 PM (PST)
Improving on Expectation Propagation
Manfred Opper · Ulrich Paquet · Ole Winther
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Tue Dec 09 03:28 PM -- 03:29 PM (PST)
The Gaussian Process Density Sampler
Ryan Adams · Iain Murray · David MacKay
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Tue Dec 09 03:29 PM -- 03:30 PM (PST)
Efficient Sampling for Gaussian Process Inference using Control Variables
Michalis Titsias · Neil D Lawrence · Magnus Rattray