Reasoning

A Graphical Transformation for Belief Propagation: Maximum Weight Matchings and Odd-Sized Cycles NeurIPS 2013 A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables NeurIPS 2013 A simple criterion for controlling selection bias AISTATS 2013 Bridging the Gap Between Refinement and Heuristics in Abstraction IJCAI 2013 Causal Inference on Time Series using Restricted Structural Equation Models NeurIPS 2013 Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising JMLR 2013 DESPOT: Online POMDP Planning with Regularization NeurIPS 2013 Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests NeurIPS 2013 Discovering the Structure of a Planar Mirror System from Multiple Observations of a Single Point CVPR 2013 Estimation of Causal Peer Influence Effects ICML 2013 Event Detection in Complex Scenes Using Interval Temporal Constraints ICCV 2013 Experiment Selection for Causal Discovery JMLR 2013 First-order Decomposition Trees NeurIPS 2013 Graphical Models for Inference with Missing Data NeurIPS 2013 Guided Monte Carlo Tree Search for Planning in Learned Environments ACML 2013 Learning Linear Bayesian Networks with Latent Variables ICML 2013 Message Passing Inference with Chemical Reaction Networks NeurIPS 2013 Meta-Transportability of Causal Effects: A Formal Approach AISTATS 2013 On the Complexity and Approximation of Binary Evidence in Lifted Inference NeurIPS 2013 Point Based Value Iteration with Optimal Belief Compression for Dec-POMDPs NeurIPS 2013 Reasoning With Neural Tensor Networks for Knowledge Base Completion NeurIPS 2013 SADA: A General Framework to Support Robust Causation Discovery ICML 2013 Symbolic Opportunistic Policy Iteration for Factored-Action MDPs NeurIPS 2013 Synthesizing Robust Plans under Incomplete Domain Models NeurIPS 2013 Variational Planning for Graph-based MDPs NeurIPS 2013