Abstract is missing.
- Solving Distributed Constraint Optimization Problems Using RanksMihaela Verman, Philip Stutz, Abraham Bernstein. [doi]
- Scalable Learning for Structure in Markov Logic NetworksZhengya Sun, Zhuoyu Wei, Jue Wang, Hongwei Hao. [doi]
- ProPPR: Efficient First-Order Probabilistic Logic Programming for Structure Discovery, Parameter Learning, and Scalable InferenceWilliam Yang Wang, Kathryn Mazaitis, William W. Cohen. [doi]
- WOLFE: Strength Reduction and Approximate Programming for Probabilistic ProgrammingSebastian Robert Riedel, Sameer Singh, Vivek Srikumar, Tim Rocktäschel, Larysa Visengeriyeva, Jan Noessner. [doi]
- Parameter Estimation for Relational Kalman FilteringJaesik Choi, Eyal Amir, Tianfang Xu, Albert J. Valocchi. [doi]
- Efficient Probabilistic Inference for Dynamic Relational ModelsJonas Vlasselaer, Wannes Meert, Guy Van den Broeck, Luc De Raedt. [doi]
- Relational Logistic Regression: The Directed Analog of Markov Logic NetworksSeyed Mehran Kazemi, David Buchman, Kristian Kersting, Sriraam Natarajan, David Poole. [doi]
- Efficient Markov Logic Inference for Natural Language SemanticsIslam Beltagy, Raymond J. Mooney. [doi]
- A Proposal for Statistical Outlier Detection in Relational StructuresFatemeh Riahi, Oliver Schulte, Qing Li. [doi]
- A Deeper Empirical Analysis of CBP Algorithm: Grounding Is the BottleneckShrutika Poyrekar, Sriraam Natarajan, Kristian Kersting. [doi]
- Understanding the Complexity of Lifted Inference and Asymmetric Weighted Model CountingEric Gribkoff, Guy Van den Broeck, Dan Suciu. [doi]
- Hierarchical Reasoning with Probabilistic ProgrammingBrian E. Ruttenberg, Matthew P. Wilkins, Avi Pfeffer. [doi]
- Applying Marginal MAP Search to Probabilistic Conformant Planning: Initial ResultsJunkyu Lee, Radu Marinescu 0002, Rina Dechter. [doi]
- OrganizersSriraam Natarajan. [doi]
- Automated Debugging with Tractable Probabilistic ProgrammingAniruddh Nath, Pedro Domingos. [doi]
- Extending PSL with Fuzzy QuantifiersGolnoosh Farnadi, Stephen H. Bach, Marie-Francine Moens, Lise Getoor, Martine De Cock. [doi]
- Lifting Relational MAP-LPs using Cluster SignaturesUdi Apsel, Kristian Kersting, Martin Mladenov. [doi]
- PrefaceGuy Van den Broeck, Kristian Kersting, Sriraam Natarajan, David Poole. [doi]
- Representation, Reasoning, and Learning for a Relational Influence Diagram Applied to a Real-Time Geological DomainMatthew C. Dirks, Andrew Csinger, Andrew Bamber, David Poole. [doi]
- Explanation-Based Approximate Weighted Model Counting for Probabilistic LogicsJoris Renkens, Angelika Kimmig, Guy Van den Broeck, Luc De Raedt. [doi]
- Classification from One Class of Examples for Relational DomainsTushar Khot, Sriraam Natarajan, Jude W. Shavlik. [doi]
- Evidence-Based Clustering for Scalable Inference in Markov LogicDeepak Venugopal, Vibhav Gogate. [doi]
- Towards Adversarial Reasoning in Statistical Relational DomainsDaniel Lowd, Brenton Lessley, Mino De Raj. [doi]
- A Sparse Parameter Learning Method for Probabilistic Logic ProgramsMasaaki Nishino, Akihiro Yamamoto, Masaaki Nagata. [doi]
- Learning Tractable Statistical Relational ModelsAniruddh Nath, Pedro M. Domingos. [doi]
- Tractable Probabilistic Knowledge Bases: Wikipedia and BeyondMathias Niepert, Pedro Domingos. [doi]
- Reasoning in the Description Logic BEL Using Bayesian NetworksIsmail Ilkan Ceylan, Rafael Peñaloza. [doi]