Causal Inference

The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data NeurIPS 2019 The Label Complexity of Active Learning from Observational Data NeurIPS 2019 Transfer Learning for Causal Sentence Detection ACL 2019 Triad Constraints for Learning Causal Structure of Latent Variables NeurIPS 2019 Using Embeddings to Correct for Unobserved Confounding in Networks NeurIPS 2019 Variance Reduction in Bipartite Experiments through Correlation Clustering NeurIPS 2019 When Do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception Using Individual Treatment Effect Estimation AAAI 2019 A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks PGM 2018 Balanced Policy Evaluation and Learning NeurIPS 2018 Causal Discovery from Discrete Data using Hidden Compact Representation NeurIPS 2018 Causal Inference via Kernel Deviance Measures NeurIPS 2018 Causal Inference with Noisy and Missing Covariates via Matrix Factorization NeurIPS 2018 Causality Analysis of Twitter Sentiments and Stock Market Returns ACL 2018 Causal Structure Learning via Temporal Markov Networks PGM 2018 Challenges of Using Text Classifiers for Causal Inference EMNLP 2018 Computationally and statistically efficient learning of causal Bayes nets using path queries NeurIPS 2018 Detecting non-causal artifacts in multivariate linear regression models ICML 2018 Direct Estimation of Differences in Causal Graphs NeurIPS 2018 Equality of Opportunity in Classification: A Causal Approach NeurIPS 2018 Experimental Design for Cost-Aware Learning of Causal Graphs NeurIPS 2018 Fast Estimation of Causal Interactions using Wold Processes NeurIPS 2018 Identification and Estimation of Causal Effects from Dependent Data NeurIPS 2018 Learning and Testing Causal Models with Interventions NeurIPS 2018 Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design ICML 2018 Mixed Causal Structure Discovery with Application to Prescriptive Pricing IJCAI 2018