causal identification

A Calculus for Stochastic Interventions:Causal Effect Identification and Surrogate Experiments AAAI 2020 Cost-effectively Identifying Causal Effects When Only Response Variable is Observable ICML 2020 Estimating Causal Effects Using Weighting-Based Estimators AAAI 2020 Identifying causal effects in maximally oriented partially directed acyclic graphs UAI 2020 Learning Causal Effects via Weighted Empirical Risk Minimization NeurIPS 2020 Causal Calculus in the Presence of Cycles, Latent Confounders and Selection Bias UAI 2019 Causal Identification under Markov Equivalence: Completeness Results ICML 2019 Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets NeurIPS 2019 Identification of Conditional Causal Effects under Markov Equivalence NeurIPS 2019 On Causal Identification under Markov Equivalence IJCAI 2019 On Multi-Cause Approaches to Causal Inference with Unobserved Counfounding: Two Cautionary Failure Cases and A Promising Alternative AISTATS 2019 Sensitivity Analysis of Linear Structural Causal Models ICML 2019 Enhancing Identification of Causal Effects by Pruning JMLR 2018 Identification and Estimation of Causal Effects from Dependent Data NeurIPS 2018 Identification and Overidentification of Linear Structural Equation Models NeurIPS 2016 On Searching for Generalized Instrumental Variables AISTATS 2016 Local Causal Discovery of Direct Causes and Effects NeurIPS 2015