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Causal Inference

3,333 papers

Papers per year

2
15
28
277
391
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Papers

The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records MLHC 2019
Lost in Machine Translation: A Method to Reduce Meaning Loss NAACL 2019
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing NAACL 2019
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning NAACL 2019
Recovering dropped pronouns in Chinese conversations via modeling their referents NAACL 2019
Early Rumour Detection NAACL 2019
Modeling Document-level Causal Structures for Event Causal Relation Identification NAACL 2019
Improving Neural Machine Translation with Neural Syntactic Distance NAACL 2019
Structural Supervision Improves Learning of Non-Local Grammatical Dependencies NAACL 2019
Inferring Which Medical Treatments Work from Reports of Clinical Trials NAACL 2019
TOI-CNN: a Solution of Information Extraction on Chinese Insurance Policy NAACL 2019
Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models NAACL 2019
Attention Neural Model for Temporal Relation Extraction NAACL 2019
Geolocating Political Events in Text NAACL 2019
Idiothetic Verticality Estimation through Head Stabilization Strategy RSS 2019
GWU NLP at SemEval-2019 Task 7: Hybrid Pipeline for Rumour Veracity and Stance Classification on Social Media SEMEVAL 2019
Causal Calculus in the Presence of Cycles, Latent Confounders and Selection Bias UAI 2019
Causal Discovery with General Non-Linear Relationships using Non-Linear ICA UAI 2019
Efficient Planning Under Uncertainty with Incremental Refinement UAI 2019
Stability of Linear Structural Equation Models of Causal Inference UAI 2019
Towards Robust Relational Causal Discovery UAI 2019
General Identifiability with Arbitrary Surrogate Experiments UAI 2019
Beyond Structural Causal Models: Causal Constraints Models UAI 2019
Approximate Causal Abstractions UAI 2019
The Sensitivity of Counterfactual Fairness to Unmeasured Confounding UAI 2019