![[höher]](/style/images/multi_up.png)
Eine Ebene höherGruppiert nach:
Dokumententyp
| Veröffentlichungsdatum
Anzahl der Publikationen: 10
Hochschulschrift
Rodemann, Julian
(28. Juli 2021):
Robust Generalizations of Stochastic Derivative-Free Optimization.
Masterarbeit,
Ludwig-Maximilians-Universität München
[PDF, 5MB]
[PDF, 5MB]
Zeitschriftenartikel
Nalenz, Malte 
ORCID: https://orcid.org/0000-0003-3439-4469; Rodemann, Julian und Augustin, Thomas
(2024):
Learning de-biased regression trees and forests from complex samples.
In: Machine Learning, Bd. 113: S. 3379-3398
[PDF, 1MB]
ORCID: https://orcid.org/0000-0003-3439-4469; Rodemann, Julian und Augustin, Thomas
(2024):
Learning de-biased regression trees and forests from complex samples.
In: Machine Learning, Bd. 113: S. 3379-3398
[PDF, 1MB]
Rodemann, Julian ORCID: https://orcid.org/0000-0001-6112-4136 und Augustin, Thomas
(2024):
Imprecise Bayesian optimization.
In: Knowledge-Based Systems, Bd. 300, 112186
[PDF, 2MB]
ORCID: https://orcid.org/0000-0001-6112-4136 und Augustin, Thomas
(2024):
Imprecise Bayesian optimization.
In: Knowledge-Based Systems, Bd. 300, 112186
[PDF, 2MB]
Konferenzbeitrag
Marquardt, Alexander; Rodemann, Julian ORCID: https://orcid.org/0000-0001-6112-4136 und Augustin, Thomas
(11. Juli 2023):
An Empirical Study of Prior-Data Conflicts in
Bayesian Neural Networks.
13th International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA) 2023, Oviedo, Spain, 11-14 July, 2023.
[PDF, 1MB]
ORCID: https://orcid.org/0000-0001-6112-4136 und Augustin, Thomas
(11. Juli 2023):
An Empirical Study of Prior-Data Conflicts in
Bayesian Neural Networks.
13th International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA) 2023, Oviedo, Spain, 11-14 July, 2023.
[PDF, 1MB]
Rodemann, Julian ORCID: https://orcid.org/0000-0001-6112-4136; Augustin, Thomas und de Heide, Rianne
(11. Juli 2023):
Interpreting Generalized Bayesian Inference by Generalized Bayesian Inference.
13th International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA 2023), Oviedo, Spain, 11-14 July, 2023.
[PDF, 354kB]
ORCID: https://orcid.org/0000-0001-6112-4136; Augustin, Thomas und de Heide, Rianne
(11. Juli 2023):
Interpreting Generalized Bayesian Inference by Generalized Bayesian Inference.
13th International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA 2023), Oviedo, Spain, 11-14 July, 2023.
[PDF, 354kB]
Rodemann, Julian ORCID: https://orcid.org/0000-0001-6112-4136
(2023):
Pseudo-Label Selection Is a Decision Problem.
KI 2023 – 46th German Conference on Artificial Intelligence, Berlin, Germany, September 26–29, 2023.
Seipel, Dietmar und Steen, Alexander (Hrsg.):
In: KI 2023: Advances in Artificial Intelligence : 46th German Conference on AI, Berlin, Germany, September 26–29, 2023, Proceedings,
Bd. 14236
Springer: Cham. S. 261-264
ORCID: https://orcid.org/0000-0001-6112-4136
(2023):
Pseudo-Label Selection Is a Decision Problem.
KI 2023 – 46th German Conference on Artificial Intelligence, Berlin, Germany, September 26–29, 2023.
Seipel, Dietmar und Steen, Alexander (Hrsg.):
In: KI 2023: Advances in Artificial Intelligence : 46th German Conference on AI, Berlin, Germany, September 26–29, 2023, Proceedings,
Bd. 14236
Springer: Cham. S. 261-264
Rodemann, Julian ORCID: https://orcid.org/0000-0001-6112-4136; Fischer, Sebastian; Schneider, Lennart; Nalenz, Malte und Augustin, Thomas
(13. Dezember 2022):
Not All Data Are Created Equal: Lessons From Sampling Theory For Adaptive Machine Learning.
IMS International Conference on Statistics and Data Science (ICSDS), Florenz, December 13, 2022 - December 16, 2022.
[PDF, 1MB]
ORCID: https://orcid.org/0000-0001-6112-4136; Fischer, Sebastian; Schneider, Lennart; Nalenz, Malte und Augustin, Thomas
(13. Dezember 2022):
Not All Data Are Created Equal: Lessons From Sampling Theory For Adaptive Machine Learning.
IMS International Conference on Statistics and Data Science (ICSDS), Florenz, December 13, 2022 - December 16, 2022.
[PDF, 1MB]
Rodemann, Julian ORCID: https://orcid.org/0000-0001-6112-4136; Kreiss, Dominik; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Augustin, Thomas
(Oktober 2022):
Levelwise Data Disambiguation by Cautious Superset Classification.
15th International Conference on Scalable Uncertainty Management, Paris, France, 17-19 October 2022.
In: Proceedings of the 15th International Conference on Scalable Uncertainty Management,
Bd. 13562
Cham: Springer. S. 263-276
ORCID: https://orcid.org/0000-0001-6112-4136; Kreiss, Dominik; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Augustin, Thomas
(Oktober 2022):
Levelwise Data Disambiguation by Cautious Superset Classification.
15th International Conference on Scalable Uncertainty Management, Paris, France, 17-19 October 2022.
In: Proceedings of the 15th International Conference on Scalable Uncertainty Management,
Bd. 13562
Cham: Springer. S. 263-276
Rodemann, Julian ORCID: https://orcid.org/0000-0001-6112-4136 und Augustin, Thomas
(2022):
Accounting for Gaussian Process Imprecision in Bayesian Optimization.
9th international symposium, IUKM 2022, Ishikawa, Japan, March 18-19, 2022.
Honda, Katsuhiro (Hrsg.):
In: Integrated Uncertainty in Knowledge Modelling and Decision Making, Lecture Notes in Computer Science
Bd. 13199
Cham: Springer. S. 92-104
ORCID: https://orcid.org/0000-0001-6112-4136 und Augustin, Thomas
(2022):
Accounting for Gaussian Process Imprecision in Bayesian Optimization.
9th international symposium, IUKM 2022, Ishikawa, Japan, March 18-19, 2022.
Honda, Katsuhiro (Hrsg.):
In: Integrated Uncertainty in Knowledge Modelling and Decision Making, Lecture Notes in Computer Science
Bd. 13199
Cham: Springer. S. 92-104
Vortrag
Rodemann, Julian ORCID: https://orcid.org/0000-0001-6112-4136
(23. April 2023):
Pseudo-Label Selection: Insights From Decision Theory.
Young Statisticians Lecture Series - Modern Statistical Methods for Life Sciences, virtual, April 18th, 2023.
[PDF, 1MB]
ORCID: https://orcid.org/0000-0001-6112-4136
(23. April 2023):
Pseudo-Label Selection: Insights From Decision Theory.
Young Statisticians Lecture Series - Modern Statistical Methods for Life Sciences, virtual, April 18th, 2023.
[PDF, 1MB]