2 papers
stat.ML2026
A Deep Latent Variable Framework for Jointly Modeling Missingness, Measurement Error, and Heterogeneity
Yasin Khadem Charvadeh, Grace Y. Yi, Mithat Gönen +1
Missing data, measurement error, and population heterogeneity are pervasive challenges in analyzing data arising from modern observational studies and machine learning applications…
cs.LG2025
Machine Learning for Medicine Must Be Interpretable, Shareable, Reproducible and Accountable by Design
Ayyüce Begüm Bektaş, Mithat Gönen
This paper claims that machine learning models deployed in high stakes domains such as medicine must be interpretable, shareable, reproducible and accountable. We argue that these…