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stat.ML2025
EarlyStopping: Implicit Regularization for Iterative Learning Procedures in Python
Eric Ziebell, Ratmir Miftachov, Bernhard Stankewitz +1
Iterative learning procedures are ubiquitous in machine learning and modern statistics. Regularision is typically required to prevent inflating the expected loss of a procedure in…
stat.ML2024
Contraction rates for conjugate gradient and Lanczos approximate posteriors in Gaussian process regression
Bernhard Stankewitz, Botond Szabo
Due to their flexibility and theoretical tractability Gaussian process (GP) regression models have become a central topic in modern statistics and machine learning. While the true…