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07/26/2023
Consideration Set Sampling to Analyze Undecided Respondents
Researchers in psychology characterize decision-making as a process of e...
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06/22/2023
Robust Statistical Comparison of Random Variables with Locally Varying Scale of Measurement
Spaces with locally varying scale of measurement, like multidimensional ...
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03/02/2023
In all LikelihoodS: How to Reliably Select Pseudo-Labeled Data for Self-Training in Semi-Supervised Learning
Self-training is a simple yet effective method within semi-supervised le...
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02/17/2023
Approximate Bayes Optimal Pseudo-Label Selection
Semi-supervised learning by self-training heavily relies on pseudo-label...
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12/13/2022
Multi-Target Decision Making under Conditions of Severe Uncertainty
The quality of consequences in a decision making problem under (severe) ...
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09/05/2022
Statistical Comparisons of Classifiers by Generalized Stochastic Dominance
Although being a question in the very methodological core of machine lea...
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11/16/2021
Accounting for Gaussian Process Imprecision in Bayesian Optimization
Bayesian optimization (BO) with Gaussian processes (GP) as surrogate mod...
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10/19/2021
How to Guide Decisions with Bayes Factors
Some scientific research questions ask to guide decisions and others do ...
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10/19/2021
Bayes Factors can only Quantify Evidence w.r.t. Sets of Parameters, not w.r.t. (Prior) Distributions on the Parameter
Bayes factors are characterized by both the powerful mathematical framew...
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10/19/2021
Practical Relevance: A Formal Definition
There is a general agreement that it is important to consider the practi...
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10/19/2021
Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty
In this paper we propose efficient methods for elicitation of complexly ...
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09/24/2021
