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causal inference

1619 papers

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Also known as

ITE IDA SCM CI CATE

Co-occurring keywords

causal discovery (459) structural causal model (182) treatment effect (134) graphical model (863) counterfactual reasoning (224) representation learning (6174) observational datum (109) domain generalization (1517) causal effect (107) causal graph (137)

Papers

Generating Hypothetical Events for Abductive Inference ACL 2021
Bayesian Topic Regression for Causal Inference EMNLP 2021
Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates 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
Enhancing Model Robustness and Fairness with Causality: A Regularization Approach EMNLP 2021
Model updating after interventions paradoxically introduces bias AISTATS 2021
Designing Transportable Experiments Under S-admissability AISTATS 2021
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders AISTATS 2021
On Disentangled Representations Learned from Correlated Data ICML 2021
Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction EMNLP 2021
Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding ICML 2021
De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation IJCNLP 2021
Dependency in DAG models with hidden variables UAI 2021
Path dependent structural equation models UAI 2021
Intervention Efficient Algorithms for Approximate Learning of Causal Graphs ALT 2021
Deeply-Debiased Off-Policy Interval Estimation ICML 2021
Counterfactual VQA: A Cause-Effect Look at Language Bias CVPR 2021
Towards Robust Classification Model by Counterfactual and Invariant Data Generation CVPR 2021
Causal Attention for Vision-Language Tasks CVPR 2021
Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction CONLL 2021
Selecting Data Augmentation for Simulating Interventions ICML 2021
Cardinality-Regularized Hawkes-Granger Model NIPS 2021
Causal Identification with Matrix Equations NIPS 2021
Actively Identifying Causal Effects with Latent Variables Given Only Response Variable Observable NIPS 2021
Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables NIPS 2021