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02/25/2023
Average case analysis of Lasso under ultra-sparse conditions
We analyze the performance of the least absolute shrinkage and selection...
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02/02/2023
Role of Bootstrap Averaging in Generalized Approximate Message Passing
Generalized approximate message passing (GAMP) is a computationally effi...
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05/16/2022
Sharp Asymptotics of Self-training with Linear Classifier
Self-training (ST) is a straightforward and standard approach in semi-su...
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03/19/2020
Semi-analytic approximate stability selection for correlated data in generalized linear models
We consider the variable selection problem of generalized linear models ...
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01/09/2020
Macroscopic Analysis of Vector Approximate Message Passing in a Model Mismatch Setting
Vector approximate message passing (VAMP) is an efficient approximate in...
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05/23/2019
Replicated Vector Approximate Message Passing For Resampling Problem
Resampling techniques are widely used in statistical inference and ensem...
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03/27/2018