SafeImpute: Reliable Clinical Data Imputation via Conformal Selection
cs.LG
Submitted: 2026-07-06
Updated: 2026-09-09
Comments: Accepted at KDD 2026. Author accepted manuscript
Code: https://github.com/Xinrui17/SafeImpute
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Theoretical Foundations of Conformal Prediction
- Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks
- Beyond Accuracy: An Empirical Study of Uncertainty Estimation in Imputation
- Selective Prediction Reduces the Negative Effects of Automation Bias Overall but Increases False Negatives
- Uncertainty Quantification for Machine Learning in Healthcare: A Survey
- Modeling the Uncertainty in Electronic Health Records: a Bayesian Deep Learning Approach
- CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation
- Multi-modal Relational Item Representation Learning for Inferring Substitutable and Complementary Items
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