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Julian Rodemann
Julian Rodemann
Otros nombresJulian Martin Rodemann
Department of Statistics, LMU Munich
Dirección de correo verificada de stat.uni-muenchen.de - Página principal
Título
Citado por
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Año
Accounting for Gaussian process imprecision in Bayesian optimization
J Rodemann, T Augustin
International Symposium on Integrated Uncertainty in Knowledge Modelling and …, 2022
12*2022
Robust Statistical Comparison of Random Variables with Locally Varying Scale of Measurement
C Jansen, G Schollmeyer, H Blocher, J Rodemann, T Augustin
Uncertainty in Artificial Intelligence (UAI), 2023
72023
Levelwise Data Disambiguation by Cautious Superset Classification
J Rodemann, D Kreiss, E Hüllermeier, T Augustin
International Conference on Scalable Uncertainty Management (SUM), 263-276, 2022
6*2022
Approximately Bayes-Optimal Pseudo-Label Selection in Semi-Supervised Learning
J Rodemann, J Goschenhofer, E Dorigatti, T Nagler, T Augustin
Uncertainty in Artificial Intelligence (UAI), 2023
4*2023
Not all data are created equal: Lessons from sampling theory for adaptive machine learning
J Rodemann, S Fischer, L Schneider, M Nalenz, T Augustin
42022
In all likelihoods: Robust selection of pseudo-labeled data
J Rodemann, C Jansen, G Schollmeyer, T Augustin
ISIPTA: International Symposium on Imprecise Probability: Theories and …, 2023
32023
Accounting for Imprecision of Model Specification in Bayesian Optimization
J Rodemann, T Augustin
ISIPTA: International Symposium on Imprecise Probabilities: Theories and …, 2021
32021
Uncertainty about exchange rates affects import prices in the Euro Area
B Blagov
RWI Impact Notes, 2021
22021
Partial Rankings of Optimizers
J Rodemann, H Blocher
ICLR 2024 Tiny Paper Track; arXiv preprint arXiv:2402.16565, 2024
12024
Learning de-biased regression trees and forests from complex samples
M Nalenz, J Rodemann, T Augustin
Machine Learning, 1-20, 2024
12024
An Empirical Study of Prior-Data Conflicts in Bayesian Neural Networks
A Marquardt, J Rodemann, T Augustin
Poster presented at 13th International Symposium on Imprecise Probabilities …, 2023
12023
Baby gap: Does more education make for less children?
M Westphal, DA Kamhöfer
RWI Impact Notes, 2019
12019
Der Markt für Recyclingkunststoffe im Umbruch: Veränderung durch Importbeschränkungen nach China und neue EU-Regeln
J Dehio, M Rothgang
RWI Positionen, 2018
12018
Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration
J Rodemann, F Croppi, P Arens, Y Sale, J Herbinger, B Bischl, ...
arXiv preprint arXiv:2403.04629, 2024
2024
Pseudo Label Selection is a Decision Problem
J Rodemann
46th German Conference on Artificial Intelligence (KI 2023), 2023
2023
Interpreting Generalized Bayesian Inference by Generalized Bayesian Inference
J Rodemann, T Augustin, R de Heide
International Symposium on Imprecise Probabilities: Theories and …, 2023
2023
Pseudo-Label Selection: Insights From Decision Theory
J Rodemann
2023
Robust Surrogate Models in Bayesian Optimization
J Rodemann
2021
Nudging businesses to pay their taxes
M Sinning, KM Fels
RWI Impact Notes, 2019
2019
Approximately Bayes-Optimal Pseudo-Label Selection (Supplementary Material)
J Rodemann, J Goschenhofer, E Dorigatti, T Nagler, T Augustin
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Artículos 1–20