Causal Inference

Inferring Heterogeneous Causal Effects in Presence of Spatial Confounding ICML 2019 Inferring Which Medical Treatments Work from Reports of Clinical Trials NAACL 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 Intragestural Variation in Natural Sentence Production: Essential Tremor Patients Treated with DBS Interspeech 2019 Iterated Belief Base Revision: A Dynamic Epistemic Logic Approach AAAI 2019 Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction EMNLP 2019 Jointly Extracting Multiple Triplets with Multilayer Translation Constraints AAAI 2019 Kernel Instrumental Variable Regression NeurIPS 2019 Language-Conditioned Graph Networks for Relational Reasoning ICCV 2019 Learning Bayesian Networks with Low Rank Conditional Probability Tables NeurIPS 2019 Learning Models from Data with Measurement Error: Tackling Underreporting ICML 2019 Learning Neural PDE Solvers with Convergence Guarantees ICLR 2019 Learning the Structure of a Nonstationary Vector Autoregression AISTATS 2019 Learning to Address Health Inequality in the United States with a Bayesian Decision Network AAAI 2019 Learning to Infer Entities, Properties and their Relations from Clinical Conversations EMNLP 2019 Likelihood-Free Overcomplete ICA and Applications In Causal Discovery NeurIPS 2019 Lost in Machine Translation: A Method to Reduce Meaning Loss NAACL 2019 MAAM: A Morphology-Aware Alignment Model for Unsupervised Bilingual Lexicon Induction ACL 2019 Making Decisions that Reduce Discriminatory Impacts ICML 2019 MAP Inference via Block-Coordinate Frank-Wolfe Algorithm CVPR 2019 Minimum Intervention Cover of a Causal Graph AAAI 2019