Julia Moosbauer

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Parameter Optimization

Top Venues

IEEE Trans. Evol. Comput.

ACM Trans. Evol. Learn. Optim.

Publications

Marius Lindauer, Florian Karl, Anne Klier, Julia Moosbauer, Alexander Tornede, Andreas Mueller, Frank Hutter, Matthias Feurer, Bernd Bischl
Position: A Call to Action for a Human-Centered AutoML Paradigm. CoRR (2024)
Christian A. Scholbeck, Julia Moosbauer, Giuseppe Casalicchio, Hoshin Gupta, Bernd Bischl, Christian Heumann
Position Paper: Bridging the Gap Between Machine Learning and Sensitivity Analysis. CoRR (2023)
M. Jorge Cardoso, Julia Moosbauer, Tessa Sundaram Cook, Barbaros Selnur Erdal, Brad W. Genereaux, Vikash Gupta, Bennett A. Landman, Tiarna Lee, Parashkev Nachev, Elanchezhian Somasundaram, Ronald M. Summers, Khaled Younis, Sébastien Ourselin, Franz Pfister
RAISE - Radiology AI Safety, an End-to-end lifecycle approach. CoRR (2023)
Florian Karl, Tobias Pielok, Julia Moosbauer, Florian Pfisterer, Stefan Coors, Martin Binder, Lennart Schneider, Janek Thomas, Jakob Richter, Michel Lang, Eduardo C. Garrido-Merchán, Jürgen Branke, Bernd Bischl
Multi-Objective Hyperparameter Optimization in Machine Learning - An Overview. ACM Trans. Evol. Learn. Optim. 3 (4) (2023)
Julia Moosbauer, Giuseppe Casalicchio, Marius Lindauer, Bernd Bischl
Enhancing Explainability of Hyperparameter Optimization via Bayesian Algorithm Execution. CoRR (2022)
Julia Moosbauer, Martin Binder, Lennart Schneider, Florian Pfisterer, Marc Becker, Michel Lang, Lars Kotthoff, Bernd Bischl
Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers. IEEE Trans. Evol. Comput. 26 (6) (2022)
Florian Pfisterer, Lennart Schneider, Julia Moosbauer, Martin Binder, Bernd Bischl
YAHPO Gym - An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization. AutoML (2022)
Florian Karl, Tobias Pielok, Julia Moosbauer, Florian Pfisterer, Stefan Coors, Martin Binder, Lennart Schneider, Janek Thomas, Jakob Richter, Michel Lang, Eduardo C. Garrido-Merchán, Jürgen Branke, Bernd Bischl
Multi-Objective Hyperparameter Optimization - An Overview. CoRR (2022)
Julia Moosbauer, Julia Herbinger, Giuseppe Casalicchio, Marius Lindauer, Bernd Bischl
Explaining Hyperparameter Optimization via Partial Dependence Plots. CoRR (2021)
Julia Moosbauer, Martin Binder, Lennart Schneider, Florian Pfisterer, Marc Becker, Michel Lang, Lars Kotthoff, Bernd Bischl
Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers. CoRR (2021)
Florian Pfisterer, Lennart Schneider, Julia Moosbauer, Martin Binder, Bernd Bischl
YAHPO Gym - Design Criteria and a new Multifidelity Benchmark for Hyperparameter Optimization. CoRR (2021)
Julia Moosbauer, Julia Herbinger, Giuseppe Casalicchio, Marius Lindauer, Bernd Bischl
Explaining Hyperparameter Optimization via Partial Dependence Plots. NeurIPS (2021)
Abhijeet Parida, Aadhithya Sankar, Rami Eisawy, Tom Finck, Benedikt Wiestler, Franz Pfister, Julia Moosbauer
Train, Learn, Expand, Repeat. CoRR (2020)
Martin Binder, Julia Moosbauer, Janek Thomas, Bernd Bischl
Multi-objective hyperparameter tuning and feature selection using filter ensembles. GECCO (2020)
Martin Binder, Julia Moosbauer, Janek Thomas, Bernd Bischl
Model-Agnostic Approaches to Multi-Objective Simultaneous Hyperparameter Tuning and Feature Selection. CoRR (2019)