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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

Axiomatic effect propagation in structural causal models JMLR 2024
Soft Measures for Extracting Causal Collective Intelligence EMNLP 2024
Causal Intervention-based Few-Shot Named Entity Recognition EMNLP 2023
Mitigating Biases in Hate Speech Detection from A Causal Perspective EMNLP 2023
Clustering and Structural Robustness in Causal Diagrams JMLR 2023
Robust and Agnostic Learning of Conditional Distributional Treatment Effects AISTATS 2023
Counterfactual Augmentation for Multimodal Learning Under Presentation Bias EMNLP 2023
Inference for a Large Directed Acyclic Graph with Unspecified Interventions JMLR 2023
Causal Imitability Under Context-Specific Independence Relations NIPS 2023
The d-Separation Criterion in Categorical Probability JMLR 2023
The Lauritzen-Chen Likelihood For Graphical Models AISTATS 2023
Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach NIPS 2023
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation NIPS 2023
Enhancing Event Causality Identification with Counterfactual Reasoning ACL 2023
Ultra-marginal Feature Importance: Learning from Data with Causal Guarantees AISTATS 2023
Pairwise Causality Guided Transformers for Event Sequences NIPS 2023
CMVAE: Causal Meta VAE for Unsupervised Meta-Learning AAAI 2023
Robust Causal Graph Representation Learning against Confounding Effects AAAI 2023
Safe Sequential Testing and Effect Estimation in Stratified Count Data AISTATS 2023
VaRT: Variational Regression Trees NIPS 2023
Structured Neural Networks for Density Estimation and Causal Inference NIPS 2023
Adaptive Principal Component Regression with Applications to Panel Data NIPS 2023
Counterfactuals for the Future AAAI 2023
Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach AAAI 2023
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment NIPS 2023