Reasoning

Bounding Performance Loss in Approximate MDP Homomorphisms NeurIPS 2008 Causal Reasoning with Ancestral Graphs JMLR 2008 Fast Prediction on a Tree NeurIPS 2008 Finding Latent Causes in Causal Networks: an Efficient Approach Based on Markov Blankets NeurIPS 2008 Finding Optimal Bayesian Network Given a Super-Structure JMLR 2008 How memory biases affect information transmission: A rational analysis of serial reproduction NeurIPS 2008 Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming JMLR 2008 Integrating Locally Learned Causal Structures with Overlapping Variables NeurIPS 2008 Interpreting the neural code with Formal Concept Analysis NeurIPS 2008 Learning Control Knowledge for Forward Search Planning JMLR 2008 Nonlinear causal discovery with additive noise models NeurIPS 2008 Supervised Bipartite Graph Inference NeurIPS 2008 Using Markov Blankets for Causal Structure Learning JMLR 2008 An Analysis of Convex Relaxations for MAP Estimation NeurIPS 2007 Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm JMLR 2007 Integrating Naïve Bayes and FOIL JMLR 2007 Learning and using relational theories NeurIPS 2007 The Noisy-Logical Distribution and its Application to Causal Inference NeurIPS 2007 Theoretical Analysis of Heuristic Search Methods for Online POMDPs NeurIPS 2007 A Linear Non-Gaussian Acyclic Model for Causal Discovery JMLR 2006 Automated Hierarchy Discovery for Planning in Partially Observable Environments NeurIPS 2006 Combining causal and similarity-based reasoning NeurIPS 2006 Inferring Network Structure from Co-Occurrences NeurIPS 2006 Learning Structural Equation Models for fMRI NeurIPS 2006