Thomas Augustin

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 49

Top Topics

Bayesian Decision

Preference Aggregation

Decision Making

Top Venues

Int. J. Approx. Reason.

Publications

Julian Rodemann, Thomas Augustin
Imprecise Bayesian optimization. Knowl. Based Syst. 300 (2024)
Julian Rodemann, Federico Croppi, Philipp Arens, Yusuf Sale, Julia Herbinger, Bernd Bischl, Eyke Hüllermeier, Thomas Augustin, Conor J. Walsh, Giuseppe Casalicchio
Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration. CoRR (2024)
Malte Nalenz, Julian Rodemann, Thomas Augustin
Learning de-biased regression trees and forests from complex samples. Mach. Learn. 113 (6) (2024)
Christoph Jansen, Georg Schollmeyer, Julian Rodemann, Hannah Blocher, Thomas Augustin
Statistical Multicriteria Benchmarking via the GSD-Front. CoRR (2024)
Christoph Jansen, Georg Schollmeyer, Hannah Blocher, Julian Rodemann, Thomas Augustin
Robust statistical comparison of random variables with locally varying scale of measurement. UAI (2023)
Julian Rodemann, Jann Goschenhofer, Emilio Dorigatti, Thomas Nagler, Thomas Augustin
Approximate Bayes Optimal Pseudo-Label Selection. CoRR (2023)
Christoph Jansen, Georg Schollmeyer, Thomas Augustin
Multi-target Decision Making Under Conditions of Severe Uncertainty. MDAI (2023)
Florian Dumpert, Sebastian Wichert, Thomas Augustin, Nina Storfinger
Editorial issue 3 + 4, 2023. AStA Wirtschafts und Sozialstatistisches Arch. 17 (3) (2023)
Julian Rodemann, Christoph Jansen, Georg Schollmeyer, Thomas Augustin
In all likelihoods: robust selection of pseudo-labeled data. ISIPTA (2023)
Roman Hornung, Malte Nalenz, Lennart Schneider, Andreas Bender, Ludwig Bothmann, Bernd Bischl, Thomas Augustin, Anne-Laure Boulesteix
Evaluating machine learning models in non-standard settings: An overview and new findings. CoRR (2023)
Julian Rodemann, Christoph Jansen, Georg Schollmeyer, Thomas Augustin
In all LikelihoodS: How to Reliably Select Pseudo-Labeled Data for Self-Training in Semi-Supervised Learning. CoRR (2023)
Christoph Jansen, Georg Schollmeyer, Hannah Blocher, Julian Rodemann, Thomas Augustin
Robust Statistical Comparison of Random Variables with Locally Varying Scale of Measurement. CoRR (2023)
Christoph Jansen, Malte Nalenz, Georg Schollmeyer, Thomas Augustin
Statistical Comparisons of Classifiers by Generalized Stochastic Dominance. J. Mach. Learn. Res. 24 (2023)
Julian Rodemann, Jann Goschenhofer, Emilio Dorigatti, Thomas Nagler, Thomas Augustin
Approximately Bayes-optimal pseudo-label selection. UAI (2023)
Malte Nalenz, Thomas Augustin
Compressed Rule Ensemble Learning. AISTATS (2022)
Julian Rodemann, Thomas Augustin
Accounting for Gaussian Process Imprecision in Bayesian Optimization. IUKM (2022)
Thomas Augustin, Helmut Küchenhoff, Matthias Schmid
Nachruf Hans Schneeweiß. AStA Wirtschafts und Sozialstatistisches Arch. 16 (2) (2022)
Julian Rodemann, Dominik Kreiss, Eyke Hüllermeier, Thomas Augustin
Levelwise Data Disambiguation by Cautious Superset Classification. SUM (2022)
Christoph Jansen, Thomas Augustin
Decision Making with State-Dependent Preference Systems. IPMU (1) (2022)
Christoph Jansen, Georg Schollmeyer, Thomas Augustin
Multi-Target Decision Making under Conditions of Severe Uncertainty. CoRR (2022)
Aziz Omar, Timo von Oertzen, Thomas Augustin
Learning from Categorical Data Subject to Non-random Misclassification and Non-response Under Prior Quasi-Near-Ignorance Using an Imprecise Dirichlet Model. IPMU (2) (2022)
Christoph Jansen, Malte Nalenz, Georg Schollmeyer, Thomas Augustin
Statistical Comparisons of Classifiers by Generalized Stochastic Dominance. CoRR (2022)
Christoph Jansen, Hannah Blocher, Thomas Augustin, Georg Schollmeyer
Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty. Int. J. Approx. Reason. 144 (2022)
Patrick Michael Schwaferts, Thomas Augustin
Imprecise Hypothesis-Based Bayesian Decision Making with Composite Hypotheses. ISIPTA (2021)
Julian Rodemann, Thomas Augustin
Accounting for Gaussian Process Imprecision in Bayesian Optimization. CoRR (2021)
Cornelia Fuetterer, Thomas Augustin
Internal Validation of Unsupervised Clustering following an Association Accuracy Heuristic. BIBM (2021)
Christoph Jansen, Hannah Blocher, Thomas Augustin, Georg Schollmeyer
Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty. CoRR (2021)
Dominik Kreiss, Georg Schollmeyer, Thomas Augustin
Towards Improving Electoral Forecasting by Including Undecided Voters and Interval-valued Prior Knowledge. ISIPTA (2021)
Cornelia Fuetterer, Thomas Augustin, Christiane Fuchs
Adapted single-cell consensus clustering (adaSC3). Adv. Data Anal. Classif. 14 (4) (2020)
Dominik Kreiss, Thomas Augustin
Undecided Voters as Set-Valued Information - Towards Forecasts Under Epistemic Imprecision. SUM (2020)
Luisa Ebner, Patrick Michael Schwaferts, Thomas Augustin
Robust Bayes Factor for Independent Two-Sample Comparisons under Imprecise Prior Information. ISIPTA (2019)
Aziz Omar, Thomas Augustin
Estimation of classification probabilities in small domains accounting for nonresponse relying on imprecise probability. Int. J. Approx. Reason. 115 (2019)
Patrick Michael Schwaferts, Thomas Augustin
Imprecise Hypothesis-Based Bayesian Decision Making with Simple Hypotheses. ISIPTA (2019)
Cornelia Fuetterer, Georg Schollmeyer, Thomas Augustin
Constructing Simulation Data with Dependency Structure for Unreliable Single-Cell RNA-Sequencing Data Using Copulas. ISIPTA (2019)
Thomas Augustin, Rudolf Seising
Kurt Weichselberger's contribution to imprecise probabilities and statistical inference. Int. J. Approx. Reason. 98 (2018)
Christoph Jansen, Georg Schollmeyer, Thomas Augustin
A probabilistic evaluation framework for preference aggregation reflecting group homogeneity. Math. Soc. Sci. 96 (2018)
Thomas Augustin
Imprecise Sampling Models for Modelling Unobserved Heterogeneity? Basic Ideas of a Credal Likelihood Concept. SUM (2018)
Aziz Omar, Thomas Augustin
Estimation of Classification Probabilities in Small Domains Accounting for Nonresponse Relying on Imprecise Probability. SMPS (2018)
Christoph Jansen, Georg Schollmeyer, Thomas Augustin
Concepts for decision making under severe uncertainty with partial ordinal and partial cardinal preferences. Int. J. Approx. Reason. 98 (2018)
Thomas Augustin, Serena Doria, Massimo Marinacci
Imprecise probability: Theories and applications. Int. J. Approx. Reason. 84 (2017)
Julia Plass, Marco E. G. V. Cattaneo, Georg Schollmeyer, Thomas Augustin
On the testability of coarsening assumptions: A hypothesis test for subgroup independence. Int. J. Approx. Reason. 90 (2017)
Julia Plass, Aziz Omar, Thomas Augustin
Towards a Cautious Modelling of Missing Data in Small Area Estimation. ISIPTA (2017)
Thomas Augustin, Serena Doria, Massimo Marinacci
Special Issue: Ninth International Symposium on Imprecise Probability: Theory and Applications (ISIPTA'15). Int. J. Approx. Reason. 83 (2017)
Thomas Augustin, Rudolf Seising
Kurt Weichselberger's Contribution to Imprecise Probabilities. ISIPTA (2017)
Christoph Jansen, Georg Schollmeyer, Thomas Augustin
Concepts for Decision Making under Severe Uncertainty with Partial Ordinal and Partial Cardinal Preferences. ISIPTA (2017)
Paul Fink, Thomas Augustin
(Generalized) Linear Regression on Microaggregated Data - From Nuisance Parameter Optimization to Partial Identification. ISIPTA (2017)
Christoph Jansen, Thomas Augustin, Georg Schollmeyer
Decision Theory Meets Linear Optimization Beyond Computation. ECSQARU (2017)
Eva Endres, Thomas Augustin
Statistical Matching of Discrete Data by Bayesian Networks. Probabilistic Graphical Models (2016)
Julia Plass, Marco E. G. V. Cattaneo, Georg Schollmeyer, Thomas Augustin
Testing of Coarsening Mechanisms: Coarsening at Random Versus Subgroup Independence. SMPS (2016)
Georg Schollmeyer, Thomas Augustin
Statistical modeling under partial identification: Distinguishing three types of identification regions in regression analysis with interval data. Int. J. Approx. Reason. 56 (2015)
Thomas Augustin, Cord Hockemeyer, Michael D. Kickmeier-Rust, Patrick Podbregar, Reinhard Suck, Dietrich Albert
The simplified updating rule in the formalization of digital educational games. J. Comput. Sci. 4 (4) (2013)
Atiye Sarabi-Jamab, Babak Nadjar Araabi, Thomas Augustin
Information-based dissimilarity assessment in Dempster-Shafer theory. Knowl. Based Syst. 54 (2013)
Helmut Küchenhoff, Thomas Augustin, Anne Kunz
Partially identified prevalence estimation under misclassification using the kappa coefficient. Int. J. Approx. Reason. 53 (8) (2012)
Thomas Augustin, Cord Hockemeyer, Michael D. Kickmeier-Rust, Dietrich Albert
Individualized Skill Assessment in Digital Learning Games: Basic Definitions and Mathematical Formalism. IEEE Trans. Learn. Technol. 4 (2) (2011)
Michael D. Kickmeier-Rust, Thomas Augustin, Dietrich Albert
Personalized Storytelling for Educational Computer Games. SGDA (2011)
Thomas Augustin, Frank P. A. Coolen, Serafín Moral, Matthias C. M. Troffaes
Imprecise probability in statistical inference and decision making. Int. J. Approx. Reason. 51 (9) (2010)
Thomas Augustin, Enrique Miranda, Jirina Vejnarová
Imprecise probability models and their applications. Int. J. Approx. Reason. 50 (4) (2009)
Andreas Mihalyi, Barbara Deml, Thomas Augustin
A Contribution to Integrated Driver Modeling: A Coherent Framework for Modeling Both Non-routine and Routine Elements of the Driving Task. HCI (11) (2009)
Frank P. A. Coolen, Thomas Augustin
A nonparametric predictive alternative to the Imprecise Dirichlet Model: The case of a known number of categories. Int. J. Approx. Reason. 50 (2) (2009)
Thomas Augustin
The problem of meaningfulness: Weber's law, Guilford's power law, and the near-miss-to-Weber's law. Math. Soc. Sci. 57 (1) (2009)
Michael D. Kickmeier-Rust, Cord Hockemeyer, Dietrich Albert, Thomas Augustin
Micro Adaptive, Non-invasive Knowledge Assessment in Educational Games. DIGITEL (2008)
Hermann Held, Thomas Augustin, Elmar Kriegler
Bayesian learning for a class of priors with prescribed marginals. Int. J. Approx. Reason. 49 (1) (2008)
Carolin Strobl, Anne-Laure Boulesteix, Thomas Kneib, Thomas Augustin, Achim Zeileis
Conditional variable importance for random forests. BMC Bioinform. 9 (2008)
Carolin Strobl, Anne-Laure Boulesteix, Thomas Augustin
Unbiased split selection for classification trees based on the Gini Index. Comput. Stat. Data Anal. 52 (1) (2007)
Lev V. Utkin, Thomas Augustin
Decision making under incomplete data using the imprecise Dirichlet model. Int. J. Approx. Reason. 44 (3) (2007)
Frank P. A. Coolen, Thomas Augustin
Learning from multinomial data: a nonparametric predictive alternative to the Imprecise Dirichlet Model. ISIPTA (2005)
Thomas Augustin
Generalized basic probability assignments. Int. J. Gen. Syst. 34 (4) (2005)
Lev V. Utkin, Thomas Augustin
Decision making under incomplete data using the imprecise Dirichlet model. ISIPTA (2005)
Lev V. Utkin, Thomas Augustin
Powerful algorithms for decision making under partial prior information and general ambiguity attitudes. ISIPTA (2005)
Kurt Weichselberger, Thomas Augustin
On the Symbiosis of Two Concepts of Conditional Interval Probability. ISIPTA (2003)
Thomas Augustin
On the Suboptimality of the Generalized Bayes Rule and Robust Bayesian Procedures from the Decision Theoretic Point of View --- a Cautionary Note on Updating Imprecise Priors. ISIPTA (2003)
Thomas Augustin
On Decision Making under Ambiguous Prior and Sampling Information. ISIPTA (2001)
Thomas Augustin
Globally Least Favorable Pairs and Neyman-Pearson Testing under Interval Probability. ISIPTA (1999)