Asymmetric Separation For Local Independence Graphs
Vanessa Didelez Inference in Hybrid Bayesian Networks Using Mixtures of Gaussians
Prakash Shenoy Non-Minimal Triangulations for Mixed Stochastic/Deterministic Graphical Models
Chris Bartels and Jeff Bilmes General-Purpose MCMC Inference over Relational Structures
Brian Milch and Stuart Russell

Advances in exact Bayesian structure discovery in Bayesian networks
Mikko Koivisto A Variational Approach for Approximating Bayesian Networks by Edge Deletion
Arthur Choi and Adnan Darwiche On the Number of Samples Needed to Learn the Correct Structure of a Bayesian Network
Or Zuk, Shiri Margel and Eytan Domany

Pearl's Calculus of Intervention Is Complete
Yimin Huang and Marco Valtorta Identification of Conditional Interventional Distributions
Ilya Shpitser and Judea Pearl Structured Priors for Structure Learning
Vikash Mansinghka, Charles Kemp, Thomas Griffiths and Joshua Tenenbaum Adjacency-Faithfulness and Conservative Causal Inference
Joseph Ramsey, Jiji Zhang and Peter Spirtes

An Efficient Optimal-Equilibrium Algorithm for Two-player Game Trees
Michael Littman, Nishkam Ravi, Arjun Talwar and Martin Zinkevich Optimal Coordinated Planning Amongst Self-Interested Agents with Private State
Ruggiero Cavallo, David Parkes and Satinder Singh An Empirical Comparison of Algorithms for Aggregating Expert Predictions
Varsha Dani, Omid Madani, David Pennock, Sumit Sanghai and Brian Galebach

Continuous Time Markov Networks
Tal El-Hay, Nir Friedman, Daphne Koller and Raz Kupferman Incremental Model-based Learners With Formal Learning-Time Guarantees
Alexander L. Strehl, Lihong Li and Michael L. Littman Methods for computing state similarity in Markov Decision Processes
Norman Francis Ferns, Pablo Samuel Castro, Doina Precup and Prakash Panangaden Practical Linear Value-approximation Techniques for First-order MDPs
Scott Sanner and Craig Boutilier

Bayesian Inference for Gaussian Mixed Graph Models
Ricardo Silva and Zoubin Ghahramani Bayesian Random Fields: The Bethe-Laplace Approximation
Max Welling and Sridevi Parise A Bayesian Probability Calculus for Density Matrices
Manfred Warmuth and Dima Kuzmin

A Self-Supervised Terrain Roughness Estimator for Off-Road Autonomous Driving
David Stavens and Sebastian Thrun Propagation of Delays in the National Airspace System
Kathryn Laskey, Ning Xu and Chun-Hung Chen MAIES: A Tool for DNA Mixture Analysis
Robert Cowell, Steffen Lauritzen and Julia Mortera Efficient Selection of Disambiguating Actions for Stereo Vision
Monika Schaeffer and Ronald Parr Recognizing Activities and Spatial Context Using Wearable Sensors
Amarnag Subramanya, Alvin Raj, Jeff Bilmes and Dieter Fox