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stat.ML2026
A Flexible Empirical Bayes Approach to Generalized Linear Models, with Applications to Sparse Logistic Regression
Dongyue Xie, Matthew Stephens
We introduce a flexible empirical Bayes approach for fitting Bayesian generalized linear models. Specifically, we adopt a novel mean-field variational inference (VI) method and the…
stat.ML2025
Sequential Least-Squares Estimators with Fast Randomized Sketching for Linear Statistical Models
Guan-Yu Chen, Dong-Yue Xie, Xi Yang
We propose a novel randomized framework for the estimation problem of large-scale linear statistical models, namely Sequential Least-Squares Estimators with Fast Randomized Sketchi…