3 papers
stat.ME2026
Robust Deep Mixture Models
Jinran Wu, Geoffrey J. McLachlan
We propose a robust deep mixture model based on a pathway-wise shared scale-mixture construction. Layer-specific component indicators are independently distributed according to the…
stat.AP2026
Module-structured mixture factor models for molecular subtype discovery in transcriptomic data
Jinran Wu, Geoffrey J. McLachlan, Saumyadipta Pyne
High-throughput gene expression data exhibit high dimensionality, complex intergene dependence, and pronounced biological heterogeneity across samples, presenting major challenges…
stat.ML2025
Informative missingness and its implications in semi-supervised learning
Jinran Wu, You-Gan Wang, Geoffrey J. McLachlan
Semi-supervised learning (SSL) constructs classifiers using both labelled and unlabelled data. It leverages information from labelled samples, whose acquisition is often costly or…