Statistical Relational Artificial Intelligence
Papers from the 2010 AAAI Workshop
Kristian Kersting, Stuart Russell, Leslie Pack Kaelbling, Alon Halevy, Sriraam Natarajan, and Lilyana Mihalkova, Cochairs
Technical Report WS-10-06 published by The AAAI Press, Menlo Park, California
Kristian Kersting, Stuart Russell, Leslie Pack Kaelbling, Alon Halevy, Sriraam Natarajan, Lilyana Mihalkova
Automatic Inference in BLOG
Nimar S. Arora, Stuart Russell, Erik Sudderth
Relational Learning for Collective Classification of Entities in Images
Anton Chechetka, Denver Dash, Matthai Philipose
Lifted Inference for Relational Continuous Models
Jaesik Choi, David J. Hill, Eyal Amir
Exploiting Logical Structure in Lifted Probabilistic Inference
Vibhav Gogate, Pedro Domingos
Lifted Message Passing for Satisfiability
Fabian Hadiji, Kristian Kersting, Babak Ahmadi
Online Max-Margin Weight Learning with Markov Logic Networks
Tuyen N. Huynh, Raymond J. Mooney
Stochastic Planning and Lifted Inference
Roni Khardon
Leveraging Ontologies for Lifted Probabilistic Inference and Learning
Chloe Marielle Kiddon, Pedro Domingos
Using Structural Motifs for Learning Markov Logic Networks
Stanley Kok, Pedro Domingos
Deep Transfer as Structure Learning in Markov Logic Networks
David Andrew Moore, Andrea Pohoreckyj Danyluk
Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models
Sriraam Natarajan, Tushar Khot, Daniel Lowd, Prasad Tadepalli, Kristian Kersting, Jude Shavlik
Efficient Lifting for Online Probabilistic Inference
Aniruddh Nath, Pedro Domingos
Integrating Structured Metadata with Relational Affinity Propagation
Anon Plangprasopchok, Kristina Lerman, Lise Getoor
Machine Reading: A "Killer App" for Statistical Relational AI
Hoifung Poon, Pedro Domingos
Bayesian Abductive Logic Programs
Sindhu V. Raghavan, Raymond J. Mooney
Declarative Probabilistic Programming for Undirected Graphical Models: Open Up to Scale Up
Sebastian Robert Riedel
An Architectural Approach to Statistical Relational AI
Paul Rosenbloom
Approximate Lifted Belief Propagation
Parag Singla, Aniruddh Nath, Pedro Domingos
Probabilistic Programming for Planning Problems
Ingo Thon, Bernd Gutmann, Guy Van den Broeck
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