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Robust Statistical Comparison of Random Variables with Locally Varying
  Scale of Measurement

Robust Statistical Comparison of Random Variables with Locally Varying Scale of Measurement

22 June 2023
Christoph Jansen
G. Schollmeyer
Hannah Blocher
Julian Rodemann
Thomas Augustin
ArXivPDFHTML

Papers citing "Robust Statistical Comparison of Random Variables with Locally Varying Scale of Measurement"

12 / 12 papers shown
Title
Generalization Bounds and Stopping Rules for Learning with Self-Selected Data
Generalization Bounds and Stopping Rules for Learning with Self-Selected Data
Julian Rodemann
James Bailie
SSL
48
1
0
12 May 2025
Towards Better Open-Ended Text Generation: A Multicriteria Evaluation Framework
Towards Better Open-Ended Text Generation: A Multicriteria Evaluation Framework
Esteban Garces Arias
Hannah Blocher
Julian Rodemann
Meimingwei Li
Christian Heumann
Matthias Aßenmacher
23
1
0
24 Oct 2024
Reciprocal Learning
Reciprocal Learning
Julian Rodemann
Christoph Jansen
G. Schollmeyer
FedML
32
0
0
12 Aug 2024
Towards Bayesian Data Selection
Towards Bayesian Data Selection
Julian Rodemann
22
1
0
18 Jun 2024
Statistical Multicriteria Benchmarking via the GSD-Front
Statistical Multicriteria Benchmarking via the GSD-Front
Christoph Jansen
G. Schollmeyer
Julian Rodemann
Hannah Blocher
Thomas Augustin
36
4
0
06 Jun 2024
Semi-Supervised Learning guided by the Generalized Bayes Rule under Soft
  Revision
Semi-Supervised Learning guided by the Generalized Bayes Rule under Soft Revision
Stefan Dietrich
Julian Rodemann
Christoph Jansen
BDL
27
5
0
24 May 2024
Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI
  Collaboration
Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration
Julian Rodemann
Federico Croppi
Philipp Arens
Yusuf Sale
J. Herbinger
B. Bischl
Eyke Hüllermeier
Thomas Augustin
Conor J. Walsh
Giuseppe Casalicchio
46
7
0
07 Mar 2024
Partial Rankings of Optimizers
Partial Rankings of Optimizers
Julian Rodemann
Hannah Blocher
26
4
0
26 Feb 2024
Pseudo Label Selection is a Decision Problem
Pseudo Label Selection is a Decision Problem
Julian Rodemann
13
3
0
25 Sep 2023
Approximately Bayes-Optimal Pseudo Label Selection
Approximately Bayes-Optimal Pseudo Label Selection
Julian Rodemann
Jann Goschenhofer
Emilio Dorigatti
T. Nagler
Thomas Augustin
19
8
0
17 Feb 2023
Statistical Comparisons of Classifiers by Generalized Stochastic
  Dominance
Statistical Comparisons of Classifiers by Generalized Stochastic Dominance
Christoph Jansen
Malte Nalenz
G. Schollmeyer
Thomas Augustin
15
15
0
05 Sep 2022
Ensemble-based Uncertainty Quantification: Bayesian versus Credal
  Inference
Ensemble-based Uncertainty Quantification: Bayesian versus Credal Inference
M. Shaker
Eyke Hüllermeier
UD
UQCV
PER
BDL
219
16
0
21 Jul 2021
1