Causal Inference

CXPlain: Causal Explanations for Model Interpretation under Uncertainty NeurIPS 2019 Distributed Representation of Words in Cause and Effect Spaces AAAI 2019 Domain-Size Aware Markov Logic Networks AISTATS 2019 Exploiting Explicit Paths for Multi-hop Reading Comprehension ACL 2019 Finding Minimal d-separators in Linear Time and Applications UAI 2019 From Brain Space to Distributional Space: The Perilous Journeys of fMRI Decoding ACL 2019 High-Dimensional Poisson Structural Equation Model Learning via ℓ_1-Regularized Regression JMLR 2019 How Pre-trained Word Representations Capture Commonsense Physical Comparisons EMNLP 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 Inferring Heterogeneous Causal Effects in Presence of Spatial Confounding ICML 2019 Interpretable Almost-Exact Matching for Causal Inference AISTATS 2019 Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding AISTATS 2019 Intervening on Network Ties UAI 2019 Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs EMNLP 2019 Learning Optimal Fair Policies ICML 2019 Learning the Structure of a Nonstationary Vector Autoregression AISTATS 2019 Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments NeurIPS 2019 Minimum Intervention Cover of a Causal Graph AAAI 2019 Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder EMNLP 2019 Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation 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 On Open-Universe Causal Reasoning UAI 2019