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20242026
most citedUsing Pre-training and Interaction Modeling for ancestry-specific disease prediction in UK Biobank

2 citations · 6 across the 5 of their papers we have counts for

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stat.ME2025

Univariate-Guided Sparse Regression for Biobank-Scale High-Dimensional Omics Data

Joshua Richland, Tuomo Kiiskinen, William Wang +5

We present a scalable framework for computing polygenic risk scores (PRS) in high-dimensional genomic settings using the recently introduced Univariate-Guided Sparse Regression (un…

stat.ME2024★ 2 cited

Pretraining and the Lasso

Erin Craig, Mert Pilanci, Thomas Le Menestrel +7

Pretraining is a popular and powerful paradigm in machine learning to pass information from one model to another. As an example, suppose one has a modest-sized dataset of images of…