Knowledge & Reasoning

Kernel Embeddings of Latent Tree Graphical Models NeurIPS 2011 Learning a Distance Metric from a Network NeurIPS 2011 Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables AISTATS 2011 Learning Higher-Order Graph Structure with Features by Structure Penalty NeurIPS 2011 Learning Rules from Incomplete Examples via Implicit Mention Models ACML 2011 On Causal Discovery with Cyclic Additive Noise Models NeurIPS 2011 On the Completeness of First-Order Knowledge Compilation for Lifted Probabilistic Inference NeurIPS 2011 Probabilistic Analysis of Correctness of High-Level Robot Behavior with Sensor Error RSS 2011 Relational Learning with One Network: An Asymptotic Analysis AISTATS 2011 See the Tree Through the Lines: The Shazoo Algorithm NeurIPS 2011 Solving Decision Problems with Limited Information NeurIPS 2011 The Motion Grammar: Linguistic Perception, Planning, and Control RSS 2011 Bayesian structure discovery in Bayesian networks with less space AISTATS 2010 Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference NeurIPS 2010 Causal discovery in multiple models from different experiments NeurIPS 2010 Efficient Relational Learning with Hidden Variable Detection NeurIPS 2010 Introduction to Causal Inference JMLR 2010 Learning concept graphs from text with stick-breaking priors NeurIPS 2010 Learning Networks of Stochastic Differential Equations NeurIPS 2010 Lifted Inference Seen from the Other Side : The Tractable Features NeurIPS 2010 Link Discovery using Graph Feature Tracking NeurIPS 2010 More data means less inference: A pseudo-max approach to structured learning NeurIPS 2010 On the Convexity of Latent Social Network Inference NeurIPS 2010 PLISS: Detecting and Labeling Places Using Online Change-Point Detection RSS 2010 Probabilistic Belief Revision with Structural Constraints NeurIPS 2010