Early stopping for conjugate gradients in statistical inverse problems
L. Hucker, M. Reiß (2025). Early stopping for conjugate gradients in statistical inverse problems. Numerische Mathematik. doi:10.1007/s00211-025-01469-4
publication slides
Publications and Preprints
EarlyStopping: Implicit Regularization for Iterative Learning Procedures in Python
E. Ziebell, R. Miftachov, B. Stankewitz, L. Hucker (2025+). EarlyStopping: Implicit Regularization for Iterative Learning Procedures in Python. arXiv:2503.16753 [stat.ML]
preprint
Comparing regularisation paths of (conjugate) gradient estimators in ridge regression
L. Hucker, M. Reiß, T. Stark (2025+). Comparing regularisation paths of (conjugate) gradient estimators in ridge regression. arXiv:2503.05542 [stat.ML]
preprint slides
Early stopping for conjugate gradients in statistical inverse problems
L. Hucker, M. Reiß (2024). Early stopping for conjugate gradients in statistical inverse problems. Oberwolfach Reports. doi:10.14760/OWR-2024-30
report slides
A note on the prediction error of principal component regression in high dimensions
L. Hucker, M. Wahl (2023). A note on the prediction error of principal component regression in high dimensions. Theory of Probability and Mathematical Statistics 109, 37–53. doi:10.1090/tpms/1196
publication