2 papers
stat.ME2026
Inferring Change Points in Regression via Sample Weighting
Gabriel Arpino, Ramji Venkataramanan
We study the problem of identifying change points in high-dimensional generalized linear models, and propose an approach based on sample-weighted empirical risk minimization. Our m…
stat.ML2025
Inferring Change Points in High-Dimensional Regression via Approximate Message Passing
Gabriel Arpino, Xiaoqi Liu, Julia Gontarek +1
We consider the problem of localizing change points in a generalized linear model (GLM), a model that covers many widely studied problems in statistical learning including linear,…