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AAAI Workshop: Statistical Relational Artificial Intelligence
2014
2014
2014
Keyphrases
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
William Austin Webb
,
Pedro M. Domingos
Tractable Probabilistic Knowledge Bases with Existence Uncertainty.
AAAI Workshop: Statistical Relational Artificial Intelligence
(2013)
Babak Ahmadi
,
Kristian Kersting
,
Sriraam Natarajan
MapReduce Lifting for Belief Propagation.
AAAI Workshop: Statistical Relational Artificial Intelligence
(2013)
Martin Mladenov
,
Kristian Kersting
Lifted Inference via k-Locality.
AAAI Workshop: Statistical Relational Artificial Intelligence
(2013)
Vibhav Gogate
Organizers.
AAAI Workshop: Statistical Relational Artificial Intelligence
(2013)
Wen Pu
,
Jaesik Choi
,
Eyal Amir
Lifted Inference on Transitive Relations.
AAAI Workshop: Statistical Relational Artificial Intelligence
(2013)
Statistical Relational Artificial Intelligence, Papers from the 2013 AAAI Workshop, Bellevue, Washington, USA, July 15, 2013
AAAI Workshop: Statistical Relational Artificial Intelligence
(2013)
Jan Noessner
,
Mathias Niepert
,
Heiner Stuckenschmidt
RockIt: Exploiting Parallelism and Symmetry for MAP Inference in Statistical Relational Models.
AAAI Workshop: Statistical Relational Artificial Intelligence
(2013)
Somdeb Sarkhel
,
Vibhav Gogate
Lifting WALKSAT-Based Local Search Algorithms for MAP Inference.
AAAI Workshop: Statistical Relational Artificial Intelligence
(2013)
Young Chol Song
,
Henry A. Kautz
,
Yuncheng Li
,
Jiebo Luo
A General Framework for Recognizing Complex Events in Markov Logic.
AAAI Workshop: Statistical Relational Artificial Intelligence
(2013)
Saket Joshi
,
Roni Khardon
,
Prasad Tadepalli
,
Alan Fern
,
Aswin Raghavan
Relational Markov Decision Processes: Promise and Prospects.
AAAI Workshop: Statistical Relational Artificial Intelligence
(2013)
Sindhu Raghavan
,
Raymond J. Mooney
Online Inference-Rule Learning from Natural-Language Extractions.
AAAI Workshop: Statistical Relational Artificial Intelligence
(2013)
Tivadar Papai
,
Henry A. Kautz
Modal Markov Logic for Multiple Agents.
AAAI Workshop: Statistical Relational Artificial Intelligence
(2013)
Nima Taghipour
,
Daan Fierens
,
Guy Van den Broeck
,
Jesse Davis
,
Hendrik Blockeel
On the Completeness of Lifted Variable Elimination.
AAAI Workshop: Statistical Relational Artificial Intelligence
(2013)
Guy Van den Broeck
,
Wannes Meert
,
Jesse Davis
Lifted Generative Parameter Learning.
AAAI Workshop: Statistical Relational Artificial Intelligence
(2013)
Sriraam Natarajan
,
Jose Picado
,
Tushar Khot
,
Kristian Kersting
,
Christopher Ré
,
Jude W. Shavlik
Using Commonsense Knowledge to Automatically Create (Noisy) Training Examples from Text.
AAAI Workshop: Statistical Relational Artificial Intelligence
(2013)
Vibhav Gogate
,
Kristian Kersting
,
Sriraam Natarajan
,
David Poole
Preface.
AAAI Workshop: Statistical Relational Artificial Intelligence
(2013)
Chia-Li Kuo
,
David Poole
On Integrating Ontologies with Relational Probabilistic Models.
AAAI Workshop: Statistical Relational Artificial Intelligence
(2013)
Fabian Hadiji
,
Kristian Kersting
Reduce and Re-Lift: Bootstrapped Lifted Likelihood Maximization for MAP.
AAAI Workshop: Statistical Relational Artificial Intelligence
(2013)
Guy Van den Broeck
On the Complexity and Approximation of Binary Evidence in Lifted Inference.
AAAI Workshop: Statistical Relational Artificial Intelligence
(2013)