causal inference

Consistent Estimation of Functions of Data Missing Non-Monotonically and Not at Random NeurIPS 2016 Estimating Causal Effects with Ancestral Graph Markov Models PGM 2016 Estimating Causal Structure Using Conditional DAG Models JMLR 2016 Identification and Overidentification of Linear Structural Equation Models NeurIPS 2016 Learning Representations for Counterfactual Inference ICML 2016 Long-term Causal Effects via Behavioral Game Theory NeurIPS 2016 Mutual Information Based Matching for Causal Inference with Observational Data JMLR 2016 Observational-Interventional Priors for Dose-Response Learning NeurIPS 2016 Private Causal Inference AISTATS 2016 Recommendations as Treatments: Debiasing Learning and Evaluation ICML 2016 The Arrow of Time in Multivariate Time Series ICML 2016 Bandits with Unobserved Confounders: A Causal Approach NeurIPS 2015 Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components ICML 2015 Causal Video Object Segmentation From Persistence of Occlusions CVPR 2015 Exploring Causal Relationships in Visual Object Tracking ICCV 2015 From Dependency to Causality: A Machine Learning Approach JMLR 2015 Learning Causal Graphs with Small Interventions NeurIPS 2015 Learning the Structure and Parameters of Large-Population Graphical Games from Behavioral Data JMLR 2015 Missing at Random in Graphical Models AISTATS 2015 Network Granger Causality with Inherent Grouping Structure JMLR 2015 Rate-Agnostic (Causal) Structure Learning NeurIPS 2015 Removing systematic errors for exoplanet search via latent causes ICML 2015 Semi-Supervised Interpolation in an Anticausal Learning Scenario JMLR 2015 Telling cause from effect in deterministic linear dynamical systems ICML 2015 The Randomized Causation Coefficient JMLR 2015