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ORCID3rd StarAI@UAI 2012, Catalina Island, CA, USA
- Henry A. Kautz, Kristian Kersting, Sriraam Natarajan, David Poole:
2nd International Workshop on Statistical Relational AI (StaRAI-12), held at the Uncertainty in Artificial Intelligence Conference (UAI 2012), Catalina Island, CA, USA, August 18, 2012. 2010 - Daan Fierens, Kristian Kersting:
From Lifted Inference to Lifted Models. - Nima Taghipour, Jesse Davis:
Generalized Counting for Lifted Variable Elimination. - Oliver Schulte, Hassan Khosravi, Tianxiang Gao, Yuke Zhu:
Random Regression for Bayes Nets Applied to Relational Data. - Jaesik Choi, Eyal Amir:
Nonparametric Relational Hybrid Models. - Bert Huang, Angelika Kimmig, Lise Getoor, Jennifer Golbeck:
Probabilistic Soft Logic for Trust Analysis in Social Networks. - Shangpu Jiang, Daniel Lowd, Dejing Dou:
Using Markov Logic to Refine an Automatically Extracted Knowledge Base. - Sriraam Natarajan, Phillip Odom, Saket Joshi, Tushar Khot, Kristian Kersting, Prasad Tadepalli:
Accelarating Imitation Learning in Relational Domains via Transfer by Initialization. - Tivadar Papai, Henry A. Kautz, Daniel Stefankovic:
Slice Normalized Dynamic Markov Logic Networks. - Avi Pfeffer:
Creating and Manipulating Probabilistic Programs with Figaro. - Deepak Venugopal, Vibhav Gogate
:
On Lifting the Gibbs Sampling Algorithm. - Rodrigo de Salvo Braz, Shahin Saadati, Hung Bui, Ciaran O'Reilly:
Lifted Arbitrary Constraint Solving for Lifted Probabilistic Inference. - Siddharth Srivastava, Stuart Russell, Avi Pfeffer:
First-Order Models for POMDPs. - Richard G. Freedman, Rodrigo de Salvo Braz, Hung Bui, Sriraam Natarajan:
Initial Empirical Evaluation of Anytime Lifted Belief Propagation. - Tushar Khot, Siddharth Srivastava, Sriraam Natarajan, Jude W. Shavlik:
Learning Relational Structure for Temporal Relation Extraction. - Tiago Gomes, Vítor Santos Costa:
Evaluating Inference Algorithms for the Prolog Factor Language. - Manfred Jaeger, Guy Van den Broeck:
Liftability of Probabilistic Inference: Upper and Lower Bounds. - Pradyot Korupolu V. N., S. S. Manimaran, Balaraman Ravindran, Sriraam Natarajan:
Integrating Human Instructions and Reinforcement Learners: An SRL Approach. - David Poole, David Buchman, Sriraam Natarajan, Kristian Kersting:
Aggregation and Population Growth: The Relational Logistic Regression and Markov Logic Cases. - Alex Brik, Jeffrey B. Remmel:
Combining Logic, Continuous Parameters and Markov Decision Processes Using Hybrid ASP. - Hung Hai Bui, Tuyen N. Huynh, Sebastian Riedel:
Automorphism Groups of Graphical Models and Lifted Variational Inference. - MohamadAli Torkamani, Daniel Lowd:
Convex Adversarial Collective Classification. StarAI@UAI 2012 - Andreas Stuhlmüller, Noah D. Goodman:
A Dynamic Programming Algorithm for Inference in Recursive Probabilistic Programs. - Mathias Niepert:
Lifted Probabilistic Inference: An MCMC Perspective. - Davide Nitti, Tinne De Laet, McElory Hoffmann, Ingo Thon, Guy Van den Broeck, Luc De Raedt:
A Particle Filter for Probabilistic Dynamic Relational Domains.
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