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ORCIDThomas Augustin 0001
Person information
- affiliation: Ludwig Maximilian University of Munich, Department of Statistics, Germany
Other persons with the same name
- Thomas Augustin — disambiguation page
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Journal Articles
- 2024
[j26]Jan Pablo Burgard, Markus Zwick, Florian Dumpert, Sebastian Wichert, Thomas Augustin, Nina Storfinger:
Vorwort der Herausgeber. AStA Wirtschafts und Sozialstatistisches Arch. 18(2): 127-130 (2024)- [j25]Julian Rodemann, Thomas Augustin
:
Imprecise Bayesian optimization. Knowl. Based Syst. 300: 112186 (2024) - [j24]Malte Nalenz, Julian Rodemann, Thomas Augustin:
Learning de-biased regression trees and forests from complex samples. Mach. Learn. 113(6): 3379-3398 (2024) - 2023
- [j23]Florian Dumpert, Sebastian Wichert, Thomas Augustin, Nina Storfinger:
Editorial issue 3 + 4, 2023. AStA Wirtschafts und Sozialstatistisches Arch. 17(3): 191-194 (2023) - [j22]Christoph Jansen, Malte Nalenz, Georg Schollmeyer, Thomas Augustin:
Statistical Comparisons of Classifiers by Generalized Stochastic Dominance. J. Mach. Learn. Res. 24: 231:1-231:37 (2023) - 2022
- [j21]Thomas Augustin, Helmut Küchenhoff, Matthias Schmid:
Nachruf Hans Schneeweiß. AStA Wirtschafts und Sozialstatistisches Arch. 16(2): 149-154 (2022) - [j20]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: 69-91 (2022) - 2020
- [j19]Cornelia Fuetterer, Thomas Augustin, Christiane Fuchs:
Adapted single-cell consensus clustering (adaSC3). Adv. Data Anal. Classif. 14(4): 885-896 (2020) - 2019
- [j18]Aziz Omar, Thomas Augustin:
Estimation of classification probabilities in small domains accounting for nonresponse relying on imprecise probability. Int. J. Approx. Reason. 115: 134-143 (2019) - 2018
- [j17]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: 112-131 (2018) - [j16]Thomas Augustin, Rudolf Seising:
Kurt Weichselberger's contribution to imprecise probabilities and statistical inference. Int. J. Approx. Reason. 98: 132-145 (2018) - [j15]Christoph Jansen, Georg Schollmeyer, Thomas Augustin:
A probabilistic evaluation framework for preference aggregation reflecting group homogeneity. Math. Soc. Sci. 96: 49-62 (2018) - 2017
- [j14]Thomas Augustin, Serena Doria, Massimo Marinacci:
Special Issue: Ninth International Symposium on Imprecise Probability: Theory and Applications (ISIPTA'15). Int. J. Approx. Reason. 83: 280 (2017) - [j13]Thomas Augustin, Serena Doria, Massimo Marinacci:
Imprecise probability: Theories and applications. Int. J. Approx. Reason. 84: 39-40 (2017) - [j12]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: 292-306 (2017) - 2015
- [j11]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: 224-248 (2015) - 2013
- [j10]Atiye Sarabi-Jamab, Babak Nadjar Araabi, Thomas Augustin:
Information-based dissimilarity assessment in Dempster-Shafer theory. Knowl. Based Syst. 54: 114-127 (2013) - 2012
- [j9]Helmut Küchenhoff, Thomas Augustin, Anne Kunz:
Partially identified prevalence estimation under misclassification using the kappa coefficient. Int. J. Approx. Reason. 53(8): 1168-1182 (2012) - 2010
- [j8]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): 1011-1013 (2010) - 2009
- [j7]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): 217-230 (2009) - [j6]Thomas Augustin, Enrique Miranda, Jirina Vejnarová:
Imprecise probability models and their applications. Int. J. Approx. Reason. 50(4): 581-582 (2009) - 2008
- [j5]Carolin Strobl, Anne-Laure Boulesteix, Thomas Kneib, Thomas Augustin, Achim Zeileis:
Conditional variable importance for random forests. BMC Bioinform. 9 (2008) - [j4]Hermann Held, Thomas Augustin, Elmar Kriegler:
Bayesian learning for a class of priors with prescribed marginals. Int. J. Approx. Reason. 49(1): 212-233 (2008) - 2007
- [j3]Carolin Strobl, Anne-Laure Boulesteix, Thomas Augustin:
Unbiased split selection for classification trees based on the Gini Index. Comput. Stat. Data Anal. 52(1): 483-501 (2007) - [j2]Lev V. Utkin, Thomas Augustin:
Decision making under incomplete data using the imprecise Dirichlet model. Int. J. Approx. Reason. 44(3): 322-338 (2007) - 2005
- [j1]Thomas Augustin:
Generalized basic probability assignments. Int. J. Gen. Syst. 34(4): 451-463 (2005)
Conference and Workshop Papers
- 2025
- [c36]Polina Gordienko, Christoph Jansen, Thomas Augustin, Martin Rechenauer:
Consensus in Motion: A Case of Dynamic Rationality of Sequential Learning in Probability Aggregation. ECSQARU 2025: 178-190 - [c35]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 for Exosuit Personalization. ECML/PKDD (8) 2025: 525-542 - 2024
- [c34]Christoph Jansen, Georg Schollmeyer, Julian Rodemann, Hannah Blocher, Thomas Augustin:
Statistical Multicriteria Benchmarking via the GSD-Front. NeurIPS 2024 - 2023
- [c33]Julian Rodemann, Christoph Jansen, Georg Schollmeyer, Thomas Augustin:
In all likelihoods: robust selection of pseudo-labeled data. ISIPTA 2023: 412-425 - [c32]Christoph Jansen, Georg Schollmeyer, Thomas Augustin:
Multi-target Decision Making Under Conditions of Severe Uncertainty. MDAI 2023: 45-57 - [c31]Christoph Jansen, Georg Schollmeyer, Hannah Blocher, Julian Rodemann, Thomas Augustin:
Robust statistical comparison of random variables with locally varying scale of measurement. UAI 2023: 941-952 - [c30]Julian Rodemann, Jann Goschenhofer, Emilio Dorigatti, Thomas Nagler, Thomas Augustin:
Approximately Bayes-optimal pseudo-label selection. UAI 2023: 1762-1773 - 2022
- [c29]Malte Nalenz, Thomas Augustin:
Compressed Rule Ensemble Learning. AISTATS 2022: 9998-10014 - [c28]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: 532-544 - [c27]Christoph Jansen, Thomas Augustin:
Decision Making with State-Dependent Preference Systems. IPMU (1) 2022: 729-742 - [c26]Julian Rodemann, Thomas Augustin:
Accounting for Gaussian Process Imprecision in Bayesian Optimization. IUKM 2022: 92-104 - [c25]Julian Rodemann, Dominik Kreiss, Eyke Hüllermeier, Thomas Augustin:
Levelwise Data Disambiguation by Cautious Superset Classification. SUM 2022: 263-276 - 2021
- [c24]Cornelia Fuetterer, Thomas Augustin:
Internal Validation of Unsupervised Clustering following an Association Accuracy Heuristic. BIBM 2021: 2201-2210 - [c23]Dominik Kreiss, Georg Schollmeyer, Thomas Augustin:
Towards Improving Electoral Forecasting by Including Undecided Voters and Interval-valued Prior Knowledge. ISIPTA 2021: 201-209 - [c22]Patrick Michael Schwaferts, Thomas Augustin:
Imprecise Hypothesis-Based Bayesian Decision Making with Composite Hypotheses. ISIPTA 2021: 280-288 - 2020
- [c21]Dominik Kreiss, Thomas Augustin:
Undecided Voters as Set-Valued Information - Towards Forecasts Under Epistemic Imprecision. SUM 2020: 242-250 - 2019
- [c20]Luisa Ebner, Patrick Michael Schwaferts, Thomas Augustin:
Robust Bayes Factor for Independent Two-Sample Comparisons under Imprecise Prior Information. ISIPTA 2019: 167-174 - [c19]Cornelia Fuetterer, Georg Schollmeyer, Thomas Augustin:
Constructing Simulation Data with Dependency Structure for Unreliable Single-Cell RNA-Sequencing Data Using Copulas. ISIPTA 2019: 216-224 - [c18]Patrick Michael Schwaferts, Thomas Augustin:
Imprecise Hypothesis-Based Bayesian Decision Making with Simple Hypotheses. ISIPTA 2019: 338-345 - 2018
- [c17]Aziz Omar, Thomas Augustin:
Estimation of Classification Probabilities in Small Domains Accounting for Nonresponse Relying on Imprecise Probability. SMPS 2018: 175-182 - [c16]Thomas Augustin:
Imprecise Sampling Models for Modelling Unobserved Heterogeneity? Basic Ideas of a Credal Likelihood Concept. SUM 2018: 351-358 - 2017
- [c15]Christoph Jansen, Thomas Augustin, Georg Schollmeyer:
Decision Theory Meets Linear Optimization Beyond Computation. ECSQARU 2017: 329-339 - [c14]Thomas Augustin, Rudolf Seising:
Kurt Weichselberger's Contribution to Imprecise Probabilities. ISIPTA 2017: 13-24 - [c13]Paul Fink, Thomas Augustin:
(Generalized) Linear Regression on Microaggregated Data - From Nuisance Parameter Optimization to Partial Identification. ISIPTA 2017: 157-168 - [c12]Christoph Jansen, Georg Schollmeyer, Thomas Augustin:
Concepts for Decision Making under Severe Uncertainty with Partial Ordinal and Partial Cardinal Preferences. ISIPTA 2017: 181-192 - [c11]Julia Plass, Aziz Omar, Thomas Augustin:
Towards a Cautious Modelling of Missing Data in Small Area Estimation. ISIPTA 2017: 253-264 - 2016
- [c10]Eva Endres, Thomas Augustin:
Statistical Matching of Discrete Data by Bayesian Networks. Probabilistic Graphical Models 2016: 159-170 - [c9]Julia Plass, Marco E. G. V. Cattaneo, Georg Schollmeyer, Thomas Augustin:
Testing of Coarsening Mechanisms: Coarsening at Random Versus Subgroup Independence. SMPS 2016: 415-422 - 2009
- [c8]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: 433-442 - 2005
- [c7]Frank P. A. Coolen, Thomas Augustin:
Learning from multinomial data: a nonparametric predictive alternative to the Imprecise Dirichlet Model. ISIPTA 2005: 125-134 - [c6]Lev V. Utkin, Thomas Augustin:
Powerful algorithms for decision making under partial prior information and general ambiguity attitudes. ISIPTA 2005: 349-358 - [c5]Lev V. Utkin, Thomas Augustin:
Decision making under incomplete data using the imprecise Dirichlet model. ISIPTA 2005: 359-368 - 2003
- [c4]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: 31-45 - [c3]Kurt Weichselberger, Thomas Augustin:
On the Symbiosis of Two Concepts of Conditional Interval Probability. ISIPTA 2003: 606- - 2001
- [c2]Thomas Augustin:
On Decision Making under Ambiguous Prior and Sampling Information. ISIPTA 2001: 9-16 - 1999
- [c1]Thomas Augustin:
Globally Least Favorable Pairs and Neyman-Pearson Testing under Interval Probability. ISIPTA 1999: 15-23
Reference Works
- 2011
- [r2]Thomas Augustin, Marco E. G. V. Cattaneo:
Foundations of Probability. International Encyclopedia of Statistical Science 2011: 542-544 - [r1]Frank P. A. Coolen, Matthias C. M. Troffaes, Thomas Augustin:
Imprecise Probability. International Encyclopedia of Statistical Science 2011: 645-648
Informal and Other Publications
- 2025
- [i12]Julian Rodemann, Esteban Garces Arias, Christoph Luther, Christoph Jansen, Thomas Augustin:
A Statistical Case Against Empirical Human-AI Alignment. CoRR abs/2502.14581 (2025) - [i11]Polina Gordienko, Christoph Jansen, Thomas Augustin, Martin Rechenauer:
Consensus in Motion: A Case of Dynamic Rationality of Sequential Learning in Probability Aggregation. CoRR abs/2504.14624 (2025) - 2024
- [i10]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 abs/2403.04629 (2024) - [i9]Christoph Jansen, Georg Schollmeyer, Julian Rodemann, Hannah Blocher, Thomas Augustin:
Statistical Multicriteria Benchmarking via the GSD-Front. CoRR abs/2406.03924 (2024) - 2023
- [i8]Julian Rodemann, Jann Goschenhofer, Emilio Dorigatti, Thomas Nagler, Thomas Augustin:
Approximate Bayes Optimal Pseudo-Label Selection. CoRR abs/2302.08883 (2023) - [i7]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 abs/2303.01117 (2023) - [i6]Christoph Jansen, Georg Schollmeyer, Hannah Blocher, Julian Rodemann, Thomas Augustin:
Robust Statistical Comparison of Random Variables with Locally Varying Scale of Measurement. CoRR abs/2306.12803 (2023) - [i5]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 abs/2310.15108 (2023) - 2022
- [i4]Christoph Jansen, Malte Nalenz, Georg Schollmeyer, Thomas Augustin:
Statistical Comparisons of Classifiers by Generalized Stochastic Dominance. CoRR abs/2209.01857 (2022) - [i3]Christoph Jansen, Georg Schollmeyer, Thomas Augustin:
Multi-Target Decision Making under Conditions of Severe Uncertainty. CoRR abs/2212.06832 (2022) - 2021
- [i2]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 abs/2110.12879 (2021) - [i1]Julian Rodemann, Thomas Augustin:
Accounting for Gaussian Process Imprecision in Bayesian Optimization. CoRR abs/2111.08299 (2021)
Coauthor Index
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