causal effect estimation

Ivy: Instrumental Variable Synthesis for Causal Inference AISTATS 2020 Learning Causal Effects via Weighted Empirical Risk Minimization NeurIPS 2020 MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models UAI 2020 On Efficient Adjustment in Causal Graphs JMLR 2020 Reconsidering Generative Objectives For Counterfactual Reasoning NeurIPS 2020 Towards Scalable Bayesian Learning of Causal DAGs NeurIPS 2020 Counterfactual Reasoning in Observational Studies AAAI 2019 Removing Hidden Confounding by Experimental Grounding NeurIPS 2018 Estimating Causal Effects with Ancestral Graph Markov Models PGM 2016 Causal Inference through a Witness Protection Program NeurIPS 2014 On Estimating Causal Effects based on Supplemental Variables AISTATS 2014 Statistical test for consistent estimation of causal effects in linear non-Gaussian models AISTATS 2012