2 papers
stat.ME2026
Making Multi-Axis Models Robust to Multiplicative Noise: How, and Why?
Bailey Andrew, David R. Westhead, Luisa Cutillo
In this paper we develop a graph-learning algorithm, MED-MAGMA, to fit multi-axis (Kronecker-sum-structured) models corrupted by multiplicative noise. This type of noise is natural…
stat.ML2026
Making Multi-Axis Gaussian Graphical Models Scalable to Millions of Cells
Bailey Andrew, Erica L. Harris, James A. Poulter +2
Motivation: Networks underlie the generation and interpretation of many biological datasets: gene networks shed light on the regulatory structure of the genome, and cell networks c…