Reasoning

Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets JMLR 2015 From Dependency to Causality: A Machine Learning Approach JMLR 2015 Learnability of Influence in Networks NeurIPS 2015 Learning Causal Graphs with Small Interventions NeurIPS 2015 Local Causal Discovery of Direct Causes and Effects NeurIPS 2015 Rate-Agnostic (Causal) Structure Learning NeurIPS 2015 Removing systematic errors for exoplanet search via latent causes ICML 2015 Telling cause from effect in deterministic linear dynamical systems ICML 2015 The Randomized Causation Coefficient JMLR 2015 Towards a Learning Theory of Cause-Effect Inference ICML 2015 An Integer Polynomial Programming Based Framework for Lifted MAP Inference NeurIPS 2014 Causal Discovery with Continuous Additive Noise Models JMLR 2014 Causal Inference through a Witness Protection Program NeurIPS 2014 Causal Strategic Inference in Networked Microfinance Economies NeurIPS 2014 Consistency of Causal Inference under the Additive Noise Model ICML 2014 Correct High-level Robot Behavior in Environments with Unexpected Events RSS 2014 Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data NeurIPS 2014 New Rules for Domain Independent Lifted MAP Inference NeurIPS 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 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