2 papers
stat.ME2024
Conformal inference for cell type annotation with graph-structured constraints
Daniela Corbetta, Livio Finos, Ludwig Geistlinger +1
Conformal prediction is a framework for constructing prediction sets for machine learning models, relying solely on the exchangeability of training and test data and without requir…
stat.ME2024
Unguided structure learning of DAGs for count data
Thi Kim Hue Nguyen, Monica Chiogna, Davide Risso
Mainly motivated by the problem of modelling directional dependence relationships for multivariate count data in high-dimensional settings, we present a new algorithm, called learn…