Knowledge & Reasoning

New Rules for Domain Independent Lifted MAP Inference NeurIPS 2014 Non-Asymptotic Analysis of Relational Learning with One Network AISTATS 2014 Order-Independent Constraint-Based Causal Structure Learning JMLR 2014 Parsing Videos of Actions with Segmental Grammars CVPR 2014 Probably Approximately Correct MDP Learning and Control With Temporal Logic Constraints RSS 2014 Randomized Experimental Design for Causal Graph Discovery NeurIPS 2014 Reducing the Rank in Relational Factorization Models by Including Observable Patterns NeurIPS 2014 Scaling-up Importance Sampling for Markov Logic Networks NeurIPS 2014 Transportability from Multiple Environments with Limited Experiments: Completeness Results NeurIPS 2014 Universal Option Models NeurIPS 2014 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 Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks NeurIPS 2013 A simple criterion for controlling selection bias AISTATS 2013 Bayesian Estimation of Latently-grouped Parameters in Undirected Graphical Models NeurIPS 2013 Bridging the Gap Between Refinement and Heuristics in Abstraction IJCAI 2013 Causal Inference on Time Series using Restricted Structural Equation Models NeurIPS 2013 Convex Relaxations for Learning Bounded-Treewidth Decomposable Graphs ICML 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