causal inference

Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets NeurIPS 2019 Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models NAACL 2019 Estimating Causal Effects of Tone in Online Debates IJCAI 2019 Estimating the Causal Effect from Partially Observed Time Series AAAI 2019 Event Causality Recognition Exploiting Multiple Annotators’ Judgments and Background Knowledge EMNLP 2019 Exclusivity Graph Approach to Instrumental Inequalities UAI 2019 From Statistical Transportability to Estimating the Effect of Stochastic Interventions IJCAI 2019 General Identifiability with Arbitrary Surrogate Experiments UAI 2019 Identification In Missing Data Models Represented By Directed Acyclic Graphs UAI 2019 Identification of Causal Effects in the Presence of Selection Bias AAAI 2019 Identification of Conditional Causal Effects under Markov Equivalence NeurIPS 2019 Identifying Causal Effects via Context-specific Independence Relations NeurIPS 2019 Identifying Predictive Causal Factors from News Streams EMNLP 2019 Imitating Latent Policies from Observation ICML 2019 Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems NeurIPS 2019 Interpretable Almost-Exact Matching for Causal Inference AISTATS 2019 Interpretable Almost Matching Exactly With Instrumental Variables UAI 2019 Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding AISTATS 2019 Intervening on Network Ties UAI 2019 Kernel Instrumental Variable Regression NeurIPS 2019 Learning Optimal Fair Policies ICML 2019 Learning to Address Health Inequality in the United States with a Bayesian Decision Network AAAI 2019 Learning Triggers for Heterogeneous Treatment Effects AAAI 2019 Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments NeurIPS 2019 Making Decisions that Reduce Discriminatory Impacts ICML 2019