observational data

Counterfactual Data-Fusion for Online Reinforcement Learners ICML 2017 Learning Optimal Interventions AISTATS 2017 Recursive Partitioning for Personalization using Observational Data ICML 2017 A Bayesian Nonparametric Approach for Estimating Individualized Treatment-Response Curves MLHC 2016 Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks JMLR 2016 Mutual Information Based Matching for Causal Inference with Observational Data JMLR 2016 Observational-Interventional Priors for Dose-Response Learning NeurIPS 2016 Bandits with Unobserved Confounders: A Causal Approach NeurIPS 2015 The Randomized Causation Coefficient JMLR 2015 Ultra-Scalable and Efficient Methods for Hybrid Observational and Experimental Local Causal Pathway Discovery JMLR 2015 Matrix Completion From any Given Set of Observations NeurIPS 2013 Meta-Transportability of Causal Effects: A Formal Approach AISTATS 2013 Transportability from Multiple Environments with Limited Experiments NeurIPS 2013 On Causal Discovery with Cyclic Additive Noise Models NeurIPS 2011 Introduction to Causal Inference JMLR 2010 Sufficient covariates and linear propensity analysis AISTATS 2010