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stat.ML2024★ 1 cited
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,…
stat.ML2023★ 1 cited
Statistical-Computational Tradeoffs in Mixed Sparse Linear Regression
Gabriel Arpino, Ramji Venkataramanan
We consider the problem of mixed sparse linear regression with two components, where two real -sparse signals are to be recovered from unlabelled noisy linear mea…