Author

Hyeonsu Lee

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#machine learning Preprint Sep 2026

Split Conformal Prediction with Label-Shift-Adjusted Bayesian Scores

The LSA score is proposed, a nonconformity score derived from a posterior predictive tilting identity that shows that the target predictive is an importance-weighted transformation of the source predictive, which is used to derive a direct correction to the Bayesian score.

Hyeonsu Lee, Juyeong Kim, Erkhembayar Jadamba et al. · 3 citations

#machine learning Preprint Aug 2026

Conformal Prediction for Molecular Properties under Label Shift

This work addresses one of the most pervasive obstacles to applying AI in real-world drug development by addressing conformal prediction framework tailored to label shift by weighting conformal scores using marginal label probability ratios and enhancing the trustworthiness of AI-driven predictions.

Hyeonsu Lee, Juyeong Kim, Erkhembayar Jadamba et al. · 2 citations