causal inference

The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records MLHC 2019 The Sensitivity of Counterfactual Fairness to Unmeasured Confounding UAI 2019 Three-quarter Sibling Regression for Denoising Observational Data IJCAI 2019 Triad Constraints for Learning Causal Structure of Latent Variables NeurIPS 2019 Unit Selection Based on Counterfactual Logic IJCAI 2019 Using Domain Knowledge to Overcome Latent Variables in Causal Inference from Time Series MLHC 2019 Using Embeddings to Correct for Unobserved Confounding in Networks NeurIPS 2019 Validating Causal Inference Models via Influence Functions ICML 2019 Variance Reduction in Bipartite Experiments through Correlation Clustering NeurIPS 2019 What is the Effect of Importance Weighting in Deep Learning? ICML 2019 When Do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception Using Individual Treatment Effect Estimation AAAI 2019 A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects CVPR 2018 Achieving Non-Discrimination in Prediction IJCAI 2018 Actual Causality in a Logical Setting IJCAI 2018 A Graphical Criterion for Effect Identification in Equivalence Classes of Causal Diagrams IJCAI 2018 A Robust Approach to Sequential Information Theoretic Planning ICML 2018 Balanced Policy Evaluation and Learning NeurIPS 2018 Bayesian Network Structure Learning with Side Constraints PGM 2018 Causal Bandits with Propagating Inference ICML 2018 Causal Discovery from Discrete Data using Hidden Compact Representation NeurIPS 2018 CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training ICLR 2018 Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models NeurIPS 2018 Causal Inference in Time Series via Supervised Learning IJCAI 2018 Causal Inference via Kernel Deviance Measures NeurIPS 2018 Causal Inference with Noisy and Missing Covariates via Matrix Factorization NeurIPS 2018