( en | de | ru )

 

Disambiguation of "Schneider, Lennart"

Author of the publication

copydeleteadd this publication to your clipboard
Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers.

, , , , , , , and . IEEE Trans. Evol. Comput., 26 (6): 1336-1350 (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Lennart Brumby

Modelle strukturellen Wissens für industrielle Dienstleistungen. TU Aachen, (2009)

Lennart Pyritz

Lennart Kempski

Lennart Schuster

Lennart Barz

 

Other publications of authors with the same name

mlr3pipelines - Flexible Machine Learning Pipelines in R., , , , , and . J. Mach. Learn. Res., (2021)Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers., , , , , , , and . IEEE Trans. Evol. Comput., 26 (6): 1336-1350 (2022)Multi-Objective Hyperparameter Optimization in Machine Learning - An Overview., , , , , , , , , and 3 other author(s). ACM Trans. Evol. Learn. Optim., 3 (4): 16:1-16:50 (December 2023)HPO ˟ ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis., , , , , and . PPSN (1), volume 13398 of Lecture Notes in Computer Science, page 575-589. Springer, (2022)Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers., , , , , , , and . CoRR, (2021)Evaluating machine learning models in non-standard settings: An overview and new findings., , , , , , , and . CoRR, (2023)HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis., , , , , and . CoRR, (2022)Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models., , and . GECCO, page 538-547. ACM, (2023)Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML., , , , , and . AutoML, volume 224 of Proceedings of Machine Learning Research, page 10/1-34. PMLR, (2023)An Open-Source Approach for Digital Prostate Cancer Histopathology: Bringing AI into Practice., , , , , and . ICEIS (1), page 729-738. SCITEPRESS, (2024)