causal inference

Towards Trustworthy Explanation: On Causal Rationalization ICML 2023 Transfer learning for individual treatment effect estimation UAI 2023 Transportability for Bandits with Data from Different Environments NeurIPS 2023 Trustworthy Policy Learning under the Counterfactual No-Harm Criterion ICML 2023 Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery NeurIPS 2023 Ultra-marginal Feature Importance: Learning from Data with Causal Guarantees AISTATS 2023 Understanding Demonstration-based Learning from a Causal Perspective ACL 2023 Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data AISTATS 2023 Unpaired Multi-Domain Causal Representation Learning NeurIPS 2023 Variable importance matching for causal inference UAI 2023 Variational Causal Inference Network for Explanatory Visual Question Answering ICCV 2023 VaRT: Variational Regression Trees NeurIPS 2023 Vector Causal Inference between Two Groups of Variables AAAI 2023 Video-Audio Domain Generalization via Confounder Disentanglement AAAI 2023 Weather2vec: Representation Learning for Causal Inference with Non-local Confounding in Air Pollution and Climate Studies AAAI 2023 Which Invariance Should We Transfer? A Causal Minimax Learning Approach ICML 2023 Which is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise? ICML 2023 Zero-shot causal learning NeurIPS 2023 β-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap ICLR 2022 A causal bandit approach to learning good atomic interventions in presence of unobserved confounders UAI 2022 A Causal Debiasing Framework for Unsupervised Salient Object Detection AAAI 2022 A Causal Inference Look at Unsupervised Video Anomaly Detection AAAI 2022 Achieving Counterfactual Fairness for Causal Bandit AAAI 2022 Achieving Long-Term Fairness in Sequential Decision Making AAAI 2022 A Complete Criterion for Value of Information in Soluble Influence Diagrams AAAI 2022