10 citations · 37 across the 28 of their papers we have counts for
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stat.ME2021★ 1 cited
A New Perspective on Debiasing Linear Regressions
Yufei Yi, Matey Neykov
In this paper, we propose an abstract procedure for debiasing constrained or regularized potentially high-dimensional linear models. It is elementary to show that the proposed proc…
stat.ME2020★ 5 cited
Prior Adaptive Semi-supervised Learning with Application to EHR Phenotyping
Yichi Zhang, Molei Liu, Matey Neykov +1
Electronic Health Records (EHR) data, a rich source for biomedical research, have been successfully used to gain novel insight into a wide range of diseases. Despite its potential,…
stat.ME2017★ 1 cited
Surrogate Aided Unsupervised Recovery of Sparse Signals in Single Index Models for Binary Outcomes
Abhishek Chakrabortty, Matey Neykov, Raymond Carroll +1
We consider the recovery of regression coefficients, denoted by , for a single index model (SIM) relating a binary outcome to a set of possibly high dimensional…