Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration.

J. Rodemann, F. Croppi, P. Arens, Y. Sale, J. Herbinger, B. Bischl, E. Hüllermeier, T. Augustin, C. Walsh, and G. Casalicchio. CoRR, (2024)

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.

Ilka Herbinger

Guenter Julian

Otto Julian

Ernst Julian

Walter Herbinger

Other publications of authors with the same name

Towards Explaining Hyperparameter Optimization via Partial Dependence PlotsJ. Moosbauer, J. Herbinger, G. Casalicchio, M. Lindauer, and B. Bischl. Proceedings of the international workshop on Automated Machine Learning (AutoML) at ICML'21, (July 2021)Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process.C. Molnar, T. Freiesleben, G. König, J. Herbinger, T. Reisinger, G. Casalicchio, M. Wright, and B. Bischl. xAI (1), volume 1901 of Communications in Computer and Information Science, page 456-479. Springer, (2023)Leveraging Model-Based Trees as Interpretable Surrogate Models for Model Distillation.J. Herbinger, S. Dandl, F. Ewald, S. Loibl, and G. Casalicchio. ECAI Workshops (1), volume 1947 of Communications in Computer and Information Science, page 232-249. Springer, (2023)General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models.C. Molnar, G. König, J. Herbinger, T. Freiesleben, S. Dandl, C. Scholbeck, G. Casalicchio, M. Grosse-Wentrup, and B. Bischl. xxAI@ICML, volume 13200 of Lecture Notes in Computer Science, page 39-68. Springer, (2020)On grouping and partitioning approaches in interpretable machine learning.J. Herbinger. Ludwig Maximilian University of Munich, Germany, (2023)Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration.J. Rodemann, F. Croppi, P. Arens, Y. Sale, J. Herbinger, B. Bischl, E. Hüllermeier, T. Augustin, C. Walsh, and G. Casalicchio. CoRR, (2024)Explaining Hyperparameter Optimization via Partial Dependence Plots.J. Moosbauer, J. Herbinger, G. Casalicchio, M. Lindauer, and B. Bischl. NeurIPS, page 2280-2291. (2021)REPID: Regional Effect Plots with implicit Interaction Detection.J. Herbinger, B. Bischl, and G. Casalicchio. AISTATS, volume 151 of Proceedings of Machine Learning Research, page 10209-10233. PMLR, (2022)Effector: A Python package for regional explanations.V. Gkolemis, C. Diou, E. Ntoutsi, T. Dalamagas, B. Bischl, J. Herbinger, and G. Casalicchio. CoRR, (2024)

BibSonomy

Disambiguation of "Herbinger, Julia"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration.

Please choose a person to relate this publication to

Ilka Herbinger

Guenter Julian

Otto Julian

Ernst Julian

Walter Herbinger

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Herbinger, Julia"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration.

Please choose a person to relate this publication to

Ilka Herbinger

Guenter Julian

Otto Julian

Ernst Julian

Walter Herbinger

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration.