Abstract is missing.
- Lifted Inference via k-LocalityMartin Mladenov, Kristian Kersting. [doi]
- RockIt: Exploiting Parallelism and Symmetry for MAP Inference in Statistical Relational ModelsJan Noessner, Mathias Niepert, Heiner Stuckenschmidt. [doi]
- Lifting WALKSAT-Based Local Search Algorithms for MAP InferenceSomdeb Sarkhel, Vibhav Gogate. [doi]
- Tractable Probabilistic Knowledge Bases with Existence UncertaintyWilliam Austin Webb, Pedro Domingos. [doi]
- Online Inference-Rule Learning from Natural-Language ExtractionsSindhu Raghavan, Raymond J. Mooney. [doi]
- MapReduce Lifting for Belief PropagationBabak Ahmadi, Kristian Kersting, Sriraam Natarajan. [doi]
- OrganizersVibhav Gogate. [doi]
- On Integrating Ontologies with Relational Probabilistic ModelsChia-Li Kuo, David Poole. [doi]
- Reduce and Re-Lift: Bootstrapped Lifted Likelihood Maximization for MAPFabian Hadiji, Kristian Kersting. [doi]
- Lifted Inference on Transitive RelationsWen Pu, Jaesik Choi, Eyal Amir. [doi]
- Using Commonsense Knowledge to Automatically Create (Noisy) Training Examples from TextSriraam Natarajan, Jose Picado, Tushar Khot, Kristian Kersting, Cristopher Ré, Jude W. Shavlik. [doi]
- A General Framework for Recognizing Complex Events in Markov LogicYoung Chol Song, Henry A. Kautz, Yuncheng Li, Jiebo Luo. [doi]
- PrefaceVibhav Gogate, Kristian Kersting, Sriraam Natarajan, David Poole. [doi]
- Lifted Generative Parameter LearningGuy Van den Broeck, Wannes Meert, Jesse Davis. [doi]
- On the Completeness of Lifted Variable EliminationNima Taghipour, Daan Fierens, Guy Van den Broeck, Jesse Davis, Hendrik Blockeel. [doi]
- On the Complexity and Approximation of Binary Evidence in Lifted InferenceGuy Van den Broeck. [doi]
- Relational Markov Decision Processes: Promise and ProspectsSaket Joshi, Roni Khardon, Prasad Tadepalli, Alan Fern, Aswin Raghavan. [doi]
- Modal Markov Logic for Multiple AgentsTivadar Papai, Henry A. Kautz. [doi]