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Expectation-Maximization for Learning Determinantal Point Processes

Nov 04, 2014
Jennifer Gillenwater, Alex Kulesza, Emily Fox, Ben Taskar

* Neural Information Processing Systems (NIPS), 2014 

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Learning the Parameters of Determinantal Point Process Kernels

Feb 20, 2014
Raja Hafiz Affandi, Emily B. Fox, Ryan P. Adams, Ben Taskar


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Controlling Complexity in Part-of-Speech Induction

Jan 16, 2014
João V. Graça, Kuzman Ganchev, Luisa Coheur, Fernando Pereira, Ben Taskar

* Journal Of Artificial Intelligence Research, Volume 41, pages 527-551, 2011 

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Approximate Inference in Continuous Determinantal Point Processes

Nov 12, 2013
Raja Hafiz Affandi, Emily B. Fox, Ben Taskar


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Determinantal point processes for machine learning

Jan 10, 2013
Alex Kulesza, Ben Taskar

* Foundations and Trends in Machine Learning: Vol. 5: No 2-3, pp 123-286 
* 120 pages 

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Discriminative Probabilistic Models for Relational Data

Dec 12, 2012
Ben Taskar, Pieter Abbeel, Daphne Koller

* Appears in Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI2002) 

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Structured Prediction Cascades

Aug 06, 2012
David Weiss, Benjamin Sapp, Ben Taskar

* 32 pages, in submission 

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Mixture-of-Parents Maximum Entropy Markov Models

Jun 20, 2012
David S. Rosenberg, Dan Klein, Ben Taskar

* Appears in Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence (UAI2007) 

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Multi-View Learning over Structured and Non-Identical Outputs

Jun 13, 2012
Kuzman Ganchev, Joao Graca, John Blitzer, Ben Taskar

* Appears in Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI2008) 

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Learning Determinantal Point Processes

Feb 14, 2012
Alex Kulesza, Ben Taskar


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