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Causal Inference

934 directly classified papers

Papers per year

Papers

Identifiability of sparse causal effects using instrumental variables UAI 2022
A robustness test for estimating total effects with covariate adjustment UAI 2022
Learning linear non-Gaussian polytree models UAI 2022
Causal discovery with heterogeneous observational data UAI 2022
Relational Causal Models with Cycles: Representation and Reasoning CLEAR 2022
Process Independence Testing in Proximal Graphical Event Models CLEAR 2022
Typing assumptions improve identification in causal discovery CLEAR 2022
Bivariate Causal Discovery via Conditional Divergence CLEAR 2022
Selection, Ignorability and Challenges With Causal Fairness CLEAR 2022
On the Equivalence of Causal Models: A Category-Theoretic Approach CLEAR 2022
A Multivariate Causal Discovery based on Post-Nonlinear Model CLEAR 2022
Local Constraint-Based Causal Discovery under Selection Bias CLEAR 2022
A Uniformly Consistent Estimator of non-Gaussian Causal Effects Under the $k$-Triangle-Faithfulness Assumption CLEAR 2022
Counterfactual Mean Embeddings JMLR 2021
Dependency in DAG models with hidden variables UAI 2021
FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference JMLR 2021
Fine-grained Temporal Relation Extraction with Ordered-Neuron LSTM and Graph Convolutional Networks EMNLP 2021
Blindness to Modality Helps Entailment Graph Mining EMNLP 2021
Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction EMNLP 2021
Learning Faithful Representations of Causal Graphs ACL 2021
Learning Prototypical Functions for Physical Artifacts ACL 2021
A Theory of Independent Mechanisms for Extrapolation in Generative Models AAAI 2021
Improving Causal Inference by Increasing Model Expressiveness AAAI 2021
Learning Adjustment Sets from Observational and Limited Experimental Data AAAI 2021
Learning Latent Structures for Cross Action Phrase Relations in Wet Lab Protocols ACL 2021