AAAI Workshop: Statistical Relational Artificial Intelligence

Publications

2014

Islam Beltagy, Raymond J. Mooney
Efficient Markov Logic Inference for Natural Language Semantics. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Shrutika Poyrekar, Sriraam Natarajan, Kristian Kersting
A Deeper Empirical Analysis of CBP Algorithm: Grounding Is the Bottleneck. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Joris Renkens, Angelika Kimmig, Guy Van den Broeck, Luc De Raedt
Explanation-Based Approximate Weighted Model Counting for Probabilistic Logics. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Matthew C. Dirks, Andrew Csinger, Andrew Bamber, David Poole
Representation, Reasoning, and Learning for a Relational Influence Diagram Applied to a Real-Time Geological Domain. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Statistical Relational Artificial Intelligence, Papers from the 2014 AAAI Workshop, Québec City, Québec, Canada, July 27, 2014 AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Aniruddh Nath, Pedro M. Domingos
Automated Debugging with Tractable Probabilistic Programming. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Fatemeh Riahi, Oliver Schulte, Qing Li
A Proposal for Statistical Outlier Detection in Relational Structures. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Aniruddh Nath, Pedro M. Domingos
Learning Tractable Statistical Relational Models. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Tushar Khot, Sriraam Natarajan, Jude W. Shavlik
Classification from One Class of Examples for Relational Domains. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Daniel Lowd, Brenton Lessley, Mino De Raj
Towards Adversarial Reasoning in Statistical Relational Domains. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Masaaki Nishino, Akihiro Yamamoto, Masaaki Nagata
A Sparse Parameter Learning Method for Probabilistic Logic Programs. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Junkyu Lee, Radu Marinescu, Rina Dechter
Applying Marginal MAP Search to Probabilistic Conformant Planning: Initial Results. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Sebastian Riedel, Sameer Singh, Vivek Srikumar, Tim Rocktäschel, Larysa Visengeriyeva, Jan Noessner
WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Golnoosh Farnadi, Stephen H. Bach, Marie-Francine Moens, Lise Getoor, Martine De Cock
Extending PSL with Fuzzy Quantifiers. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Jaesik Choi, Eyal Amir, Tianfang Xu, Albert J. Valocchi
Parameter Estimation for Relational Kalman Filtering. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Mathias Niepert, Pedro M. Domingos
Tractable Probabilistic Knowledge Bases: Wikipedia and Beyond. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Zhengya Sun, Zhuoyu Wei, Jue Wang, Hongwei Hao
Scalable Learning for Structure in Markov Logic Networks. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Deepak Venugopal, Vibhav Gogate
Evidence-Based Clustering for Scalable Inference in Markov Logic. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Guy Van den Broeck, Kristian Kersting, Sriraam Natarajan, David Poole
Preface. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Brian E. Ruttenberg, Matthew P. Wilkins, Avi Pfeffer
Hierarchical Reasoning with Probabilistic Programming. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Ismail Ilkan Ceylan, Rafael Peñaloza
Reasoning in the Description Logic BEL Using Bayesian Networks. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Sriraam Natarajan
Organizers. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Jonas Vlasselaer, Wannes Meert, Guy Van den Broeck, Luc De Raedt
Efficient Probabilistic Inference for Dynamic Relational Models. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
William Yang Wang, Kathryn Mazaitis, William W. Cohen
ProPPR: Efficient First-Order Probabilistic Logic Programming for Structure Discovery, Parameter Learning, and Scalable Inference. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Eric Gribkoff, Guy Van den Broeck, Dan Suciu
Understanding the Complexity of Lifted Inference and Asymmetric Weighted Model Counting. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Seyed Mehran Kazemi, David Buchman, Kristian Kersting, Sriraam Natarajan, David Poole
Relational Logistic Regression: The Directed Analog of Markov Logic Networks. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Udi Apsel, Kristian Kersting, Martin Mladenov
Lifting Relational MAP-LPs using Cluster Signatures. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Mihaela Verman, Philip Stutz, Abraham Bernstein
Solving Distributed Constraint Optimization Problems Using Ranks. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)

2013