3 papers
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…
stat.ML2026
MEC: Machine-Learning-Assisted Generalized Entropy Calibration for Semi-Supervised Mean Estimation
Se Yoon Lee, Jae Kwang Kim
Obtaining high-quality labels is costly, whereas unlabeled covariates are often abundant, motivating semi-supervised inference methods with reliable uncertainty quantification. Pre…
math.ST2024
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…