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Causal Inference

523 directly classified papers

Papers per year

Papers

Text as Causal Mediators: Research Design for Causal Estimates of Differential Treatment of Social Groups via Language Aspects EMNLP 2021
Causal Augmentation for Causal Sentence Classification EMNLP 2021
Mining the Cause of Political Decision-Making from Social Media: A Case Study of COVID-19 Policies across the US States EMNLP 2021
Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation EMNLP 2021
Uncovering Main Causalities for Long-tailed Information Extraction EMNLP 2021
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP EMNLP 2021
Statistical Undecidability in Linear, Non-Gaussian Causal Models in the Presence of Latent Confounders NIPS 2021
Learning Treatment Effects in Panels with General Intervention Patterns NIPS 2021
Actively Identifying Causal Effects with Latent Variables Given Only Response Variable Observable NIPS 2021
Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings NIPS 2021
Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance NIPS 2021
Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables NIPS 2021
Integrating Overlapping Datasets Using Bivariate Causal Discovery AAAI 2020
FairyTED: A Fair Rating Predictor for TED Talk Data AAAI 2020
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves AAAI 2020
Cost-Effective Incentive Allocation via Structured Counterfactual Inference AAAI 2020
General Transportability – Synthesizing Observations and Experiments from Heterogeneous Domains AAAI 2020
Discourse structure interacts with reference but not syntax in neural language models EMNLP 2020
Spatio-Temporal Change Detection Using Granger Sequence Pattern IJCAI 2020
Structure Learning for Cyclic Linear Causal Models UAI 2020
Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation UAI 2020
Deriving Bounds And Inequality Constraints Using Logical Relations Among Counterfactuals UAI 2020
Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models NIPS 2020
How Robust are the Estimated Effects of Nonpharmaceutical Interventions against COVID-19? NIPS 2020
Efficient Adjustment Sets for Population Average Causal Treatment Effect Estimation in Graphical Models JMLR 2020