Publications (4)
Incorporating LLM Embeddings for Variation Across the Human Genome
Hongqian Niu, Jordan Bryan, Jacob Williams +4
Recent advances in large language model (LLM) embeddings have enabled powerful representations for biological data, but most applications to date focus on gene-level information. W…
Subscedastic weighted least squares estimates
Jordan Bryan, Haibo Zhou, Didong Li
In the heteroscedastic linear model, the weighted least squares (WLS) estimate of the model coefficients is more efficient than the ordinary least squares (OLS) esti- mate. However…
Linear Source Apportionment using Generalized Least Squares
Jordan Bryan, Peter Hoff
Motivated by applications to water quality monitoring using fluorescence spectroscopy, we develop the source apportionment model for high dimensional profiles of dissolved organic…
Weighted Classification Cascades for Optimizing Discovery Significance in the HiggsML Challenge
Lester Mackey, Jordan Bryan, Man Yue Mo
We introduce a minorization-maximization approach to optimizing common measures of discovery significance in high energy physics. The approach alternates between solving a weighted…