Follow
Julian Rodemann
Julian Rodemann
Other namesJulian Martin Rodemann
Department of Statistics, LMU Munich
Verified email at stat.uni-muenchen.de - Homepage
Title
Cited by
Cited by
Year
Imprecise Bayesian Optimization
J Rodemann, T Augustin
Knowledge-Based Systems 300, 112186, 2024
15*2024
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
142023
Accounting for Gaussian process imprecision in Bayesian optimization
J Rodemann, T Augustin
International Symposium on Integrated Uncertainty in Knowledge Modelling and …, 2022
142022
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
102023
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
10*2023
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
10*2022
Not all data are created equal: Lessons from sampling theory for adaptive machine learning
J Rodemann, S Fischer, L Schneider, M Nalenz, T Augustin
ICSDS, IMS (Institute of Mathematical Statistics), 2022
82022
Accounting for Imprecision of Model Specification in Bayesian Optimization
J Rodemann, T Augustin
ISIPTA: International Symposium on Imprecise Probabilities: Theories and …, 2021
82021
Learning de-biased regression trees and forests from complex samples
M Nalenz, J Rodemann, T Augustin
Machine Learning 113 (6), 3379-3398, 2024
62024
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
62024
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
42023
Towards Bayesian Data Selection
J Rodemann
ICML Workshop on Data-Centric Machine Learning Research (DMLR) at ICML 2024, 2024
3*2024
Partial Rankings of Optimizers
J Rodemann*, H Blocher*
International Conference on Learning Representations (ICLR) 2024, Vienna …, 2024
32024
Pseudo Label Selection is a Decision Problem
J Rodemann
46th German Conference on Artificial Intelligence (KI 2023), 2023
32023
Reciprocal Learning
J Rodemann, C Jansen, G Schollmeyer
NeurIPS 2024, 2024
22024
Semi-supervised learning guided by the generalized Bayes rule under soft revision
S Dietrich, J Rodemann, C Jansen
International Conference on Soft Methods in Probability and Statistics, 110-117, 2024
22024
Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text Generation
EG Arias, J Rodemann, M Li, C Heumann, M Aßenmacher
EMNLP, 2024
12024
Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text Generation
E Garces Arias, J Rodemann, M Li, C Heumann, M Aßenmacher
EMNLP, arXiv: 2407.18698, 2024
12024
Statistical Multicriteria Benchmarking via the GSD-Front
C Jansen*, G Schollmeyer*, J Rodemann*, H Blocher*, T Augustin
NeurIPS 2024 (Spotlight), 2024
12024
Interpreting Generalized Bayesian Inference by Generalized Bayesian Inference
J Rodemann, T Augustin, R de Heide
International Symposium on Imprecise Probabilities: Theories and …, 2023
12023
The system can't perform the operation now. Try again later.
Articles 1–20