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stat.ME2026
Enhancing Statistical-Computational Balance in Uncertainty Quantification of Bagging: A Cheap Bootstrap Approach
Arindam RoyChowdhury, Henry Lam
Bagging, which refers to the repeated subsampling of data and averaging the resulting outputs, is a common approach to reduce sampling variability of unstable learning and data-dri…
stat.ME2024
Statistically Optimal Uncertainty Quantification for Expensive Black-Box Models
Shengyi He, Henry Lam
Uncertainty quantification, by means of confidence interval (CI) construction, has been a fundamental problem in statistics and also important in risk-aware decision-making. In thi…