2 papers
cs.LG2025
A Bootstrap Perspective on Stochastic Gradient Descent
Hongjian Lan, Yucong Liu, Florian Schäfer
Machine learning models trained with \emph{stochastic} gradient descent (SGD) can generalize better than those trained with deterministic gradient descent (GD). In this work, we st…
math.ST2024
Möbius inversion and the iterated bootstrap
Florian Schäfer
Estimating nonlinear functionals of probability distributions from samples is a fundamental statistical problem. The "plug-in" estimator obtained by applying the target functional…