ltpm2014.cs.washington.edu

LTPM 2014

Learning Tractable Probabilistic Models. Learning Tractable Probabilistic Models. Beijing, China; June 26, 2014. A one-day workshop co-located with ICML 2014. 6/12/2014) Workshop program is available. 6/10/2014) List of accepted papers is available. 5/15/2014) The submission deadline for camera-ready papers is June 9th. 3/15/2014) The submission deadline has been extended. 2/25/2014) The submission site. 2/13/2014) We are happy to announce some exciting invited talks. 2/12/2013) The call for papers.

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Learning Tractable Probabilistic Models. Learning Tractable Probabilistic Models. Beijing, China; June 26, 2014. A one-day workshop co-located with ICML 2014. 6/12/2014) Workshop program is available. 6/10/2014) List of accepted papers is available. 5/15/2014) The submission deadline for camera-ready papers is June 9th. 3/15/2014) The submission deadline has been extended. 2/25/2014) The submission site. 2/13/2014) We are happy to announce some exciting invited talks. 2/12/2013) The call for papers.

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LTPM 2014 | ltpm2014.cs.washington.edu Reviews

https://ltpm2014.cs.washington.edu

Learning Tractable Probabilistic Models. Learning Tractable Probabilistic Models. Beijing, China; June 26, 2014. A one-day workshop co-located with ICML 2014. 6/12/2014) Workshop program is available. 6/10/2014) List of accepted papers is available. 5/15/2014) The submission deadline for camera-ready papers is June 9th. 3/15/2014) The submission deadline has been extended. 2/25/2014) The submission site. 2/13/2014) We are happy to announce some exciting invited talks. 2/12/2013) The call for papers.

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Recent site activity - LTPM 2014

http://ltpm2014.cs.washington.edu/system/app/pages/recentChanges.html

Learning Tractable Probabilistic Models. Mathias Niepert edited Invited Speakers. Jun 13, 2014, 6:04 PM. Mathias Niepert edited Invited Speakers. Jun 13, 2014, 6:04 PM. Mathias Niepert edited Invited Speakers. Jun 13, 2014, 6:03 PM. Mathias Niepert edited Invited Speakers. Jun 13, 2014, 2:45 PM. Mathias Niepert edited Learning Tractable Probabilistic Models. Jun 13, 2014, 2:44 PM. Mathias Niepert edited Program. Jun 13, 2014, 2:43 PM. Mathias Niepert edited Accepted Papers. Jun 13, 2014, 2:42 PM. Mathias...

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Important Dates - LTPM 2014

http://ltpm2014.cs.washington.edu/important-dates.html

Learning Tractable Probabilistic Models. April 14th, 2014 (extended! May 5th, 2014. June 25th or 26th, 2014.

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Accepted Papers - LTPM 2014

http://ltpm2014.cs.washington.edu/accepted-papers.html

Learning Tractable Probabilistic Models. Abram Friesen and Pedro Domingos. Exploiting Structure for Tractable Nonconvex Optimization. Guangdi Li, Anne-Mieke Vandamme and Jan Ramon. Martin Ratajczak, Sebastian Tschiatschek and Franz Pernkopf. Sum-Product Networks for Structured Prediction: Context-Specific Deep Conditional Random Fields. Aniruddh Nath and Pedro Domingos. Learning Tractable Statistical Relational Models. Towards a Unified Logic Perspective of Stochastic And-Or Grammars. Stochastic And-Or g...

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Invited Speakers - LTPM 2014

http://ltpm2014.cs.washington.edu/invited-speakers.html

Learning Tractable Probabilistic Models. Tony Jebara, Columbia Univerity. Tractable Graphical Modeling and Inference. Joint work with Adrian Weller, Nick Ruozzi and Kui Tang. Anima Anandkumar, UC Irvine. Integrated Structure and Parameter Learning in Latent Tree.

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Call for Papers - LTPM 2014

http://ltpm2014.cs.washington.edu/call-for-papers.html

Learning Tractable Probabilistic Models. We invite submissions of full papers (max 8 pages excluding references) as well as work-in-progress, position, and challenging problems papers (max 4 pages excluding references). Papers must be formatted using the ICML template. And submitted online via EasyChair. Accepted papers will either be selected for a short oral presentation or a poster presentation. While original contributions are preferred, we also invite submissions of high-quality work that has. Bridg...

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Mathias Niepert

http://www.matlog.net/publications.html

Mathias Niepert. Discriminative Gaifman Models. In Proceedings of the 30th Annual Conference on Neural Information Processing Systems ( NIPS. Barcelona, Spain, 2016. Mathias Niepert, Mohamed Ahmed, and Konstantin Kutzkov. Learning Convolutional Neural Networks for Graphs. In Proceedings of the 33rd International Conference on Machine Learning ( ICML. New York City, 2016. [ slides. Mathias Niepert and Pedro Domingos. Learning and Inference in Tractable Probabilistic Knowledge Bases. Austin, Texas, 2015.

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ltpm2014.cs.washington.edu

LTPM 2014

Learning Tractable Probabilistic Models. Learning Tractable Probabilistic Models. Beijing, China; June 26, 2014. A one-day workshop co-located with ICML 2014. 6/12/2014) Workshop program is available. 6/10/2014) List of accepted papers is available. 5/15/2014) The submission deadline for camera-ready papers is June 9th. 3/15/2014) The submission deadline has been extended. 2/25/2014) The submission site. 2/13/2014) We are happy to announce some exciting invited talks. 2/12/2013) The call for papers.

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