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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

Causally Aware Generative Adversarial Networks for Light Pollution Control AAAI 2024
pgmpy: A Python Toolkit for Bayesian Networks JMLR 2024
Neural Causal Abstractions AAAI 2024
Root Cause Explanation of Outliers under Noisy Mechanisms AAAI 2024
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning NIPS 2024
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model AAAI 2024
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation AAAI 2024
Monitoring machine learning-based risk prediction algorithms in the presence of performativity AISTATS 2024
A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks AAAI 2024
Dissecting the Failure of Invariant Learning on Graphs NIPS 2024
Principles from Clinical Research for NLP Model Generalization NAACL 2024
Causally Inspired Regularization Enables Domain General Representations AISTATS 2024
Effective Causal Discovery under Identifiable Heteroscedastic Noise Model AAAI 2024
Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach AISTATS 2024
Marginal Causal Flows for Validation and Inference NIPS 2024
Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond JMLR 2024
Identification of Necessary Semantic Undertakers in the Causal View for Image-Text Matching AAAI 2024
Take Its Essence, Discard Its Dross! Debiasing for Toxic Language Detection via Counterfactual Causal Effect COLING 2024
Prototype-based Prompt-Instance Interaction with Causal Intervention for Few-shot Event Detection COLING 2024
On the Actionability of Outcome Prediction AAAI 2024
Robust Emotion Recognition in Context Debiasing CVPR 2024
Distilling Causal Effect of Data in Continual Few-shot Relation Learning COLING 2024
Complete Graphical Criterion for Sequential Covariate Adjustment in Causal Inference NIPS 2024
Detecting and Measuring Confounding Using Causal Mechanism Shifts NIPS 2024
Exploiting Geometry for Treatment Effect Estimation via Optimal Transport AAAI 2024