New Perspectives for Relational Learning
Videos from BIRS Workshop
Daniel Lowd, University of Oregon
Monday Apr 20, 2015 09:14 - 09:41
Relational Representations
Abigail Jacobs, University of Colorado Boulder
Monday Apr 20, 2015 09:44 - 10:07
A unified view of generative models for networks: models, methods, opportunities, and challenges
Manfred Jaeger, Aalborg University
Monday Apr 20, 2015 10:33 - 10:59
Community structure analysis in social networks with relational latent feature models
James Foulds, University of California Santa Cruz
Monday Apr 20, 2015 10:59 - 11:23
Latent Variable Modeling and Statistical Relational Learning: The Missing Links
Dan Suciu, University of Washington
Monday Apr 20, 2015 14:13 - 15:08
Lifted Inference in Probabilistic Databases -- An Overview
Stephen Bach, University of Maryland College Park
Monday Apr 20, 2015 15:30 - 16:02
Unifying MAX SAT, Local Consistency Relaxations, and Soft Logic with Hinge-Loss Markov Random Fields
Luc De Raedt, KU Leuven
Tuesday Apr 21, 2015 09:04 - 09:35
Probabilistic logic programming for robotics
Taisuke Sato, Tokyo Institute of Technology
Tuesday Apr 21, 2015 09:43 - 10:07
Probabilistic modeling of cyclic relations and its application to plan recognition
Scott Sanner, Australian National University
Tuesday Apr 21, 2015 10:38 - 11:03
Relational Stochastic Programming: Frontiers for Planning and Learning
Guy Van den Broeck, KU Leuven
Tuesday Apr 21, 2015 13:14 - 13:42
Approximate Symmetries in Lifted Inference
Jesse Davis, Katholieke Universiteit Leuven
Wednesday Apr 22, 2015 10:36 - 10:44
Applications of Machine Learning in Mammography
Bert Huang, Virginia Tech.
Wednesday Apr 22, 2015 10:57 - 11:34
Social Trust Models
Jesse Davis, Katholieke Universiteit Leuven
Thursday Apr 23, 2015 09:06 - 09:32
Lifted Generative Learning of Markov Logic Networks
Bert Huang, Virginia Tech.
Thursday Apr 23, 2015 09:33 - 10:02
Paired-Dual Learning for Circumventing the Inference Bottleneck
Jay Pujara, University of Maryland College Park
Thursday Apr 23, 2015 10:31 - 10:59
Efficient Online Collective Inference for Graphical Models
Ben London, University of Maryland College Park
Thursday Apr 23, 2015 11:01 - 11:29
Learning Guarantees for Relational Models in the “One Example” Setting
