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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

Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency Analysis EMNLP 2024
Soft Measures for Extracting Causal Collective Intelligence EMNLP 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion NIPS 2024
Hierarchical and Density-based Causal Clustering NIPS 2024
Causal Estimation of Memorisation Profiles ACL 2024
Face Presentation Attack Detection by Excavating Causal Clues and Adapting Embedding Statistics WACV 2024
When to Act and When to Ask: Policy Learning With Deferral Under Hidden Confounding NIPS 2024
DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention ACL 2024
Causal-Guided Active Learning for Debiasing Large Language Models ACL 2024
Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach AAAI 2024
Data-faithful Feature Attribution: Mitigating Unobservable Confounders via Instrumental Variables NIPS 2024
Improving Large Language Models in Event Relation Logical Prediction ACL 2024
Learning Discrete Concepts in Latent Hierarchical Models NIPS 2024
Topic-Aware Causal Intervention for Counterfactual Detection EMNLP 2024
Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs AAAI 2024
Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past JMLR 2024
Axiomatic effect propagation in structural causal models JMLR 2024
In Pursuit of Causal Label Correlations for Multi-label Image Recognition NIPS 2024
Long-Term Fair Decision Making through Deep Generative Models AAAI 2024
Sample Complexity of Interventional Causal Representation Learning NIPS 2024
Natural Counterfactuals With Necessary Backtracking NIPS 2024
Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations JMLR 2024
Situation-Dependent Causal Influence-Based Cooperative Multi-Agent Reinforcement Learning AAAI 2024
Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference AAAI 2024
MCIL: Multimodal Counterfactual Instance Learning for Low-resource Entity-based Multimodal Information Extraction COLING 2024