28 citations · 28 across the 7 of their papers we have counts for
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math.ST2026
Statistical Optimality of Prediction-Powered Inference
Se Yoon Lee, Jae Kwang Kim
The prediction-powered inference (PPI) proposed by Angelopoulos et al. (2023) is a popular method that leverages a small number of labeled samples and machine learning predictions…
math.ST2020★ 28 cited
Gibbs sampler and coordinate ascent variational inference: a set-theoretical review
Se Yoon Lee
One of the fundamental problems in Bayesian statistics is the approximation of the posterior distribution. Gibbs sampler and coordinate ascent variational inference are renownedly…
math.ST2020
Tail-adaptive Bayesian shrinkage
Se Yoon Lee, Peng Zhao, Debdeep Pati +1
Robust Bayesian methods for high-dimensional regression problems under diverse sparse regimes are studied. Traditional shrinkage priors are primarily designed to detect a handful o…