Thomas Augustin

78 papers A* 1A 3B 1C 2Journal 40Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Self-Supervised Laplace Approximation for Bayesian Uncertainty Quantification. Trans. Mach. Learn. Res. Julian Rodemann, Alexander Marquard, Thomas Augustin, Michele Caprio
2025	J	`jnl`	A Statistical Case Against Empirical Human-AI Alignment. CoRR Julian Rodemann, Esteban Garces Arias, Christoph Luther, Christoph Jansen, Thomas Augustin
2025	J	`jnl`	A powerful penalized multinomial logistic regression approach. Comput. Stat. Cornelia Fuetterer, Malte Nalenz, Thomas Augustin, Ruth M. Pfeiffer
2025	C	`conf`	Consensus in Motion: A Case of Dynamic Rationality of Sequential Learning in Probability Aggregation. ECSQARU Polina Gordienko, Christoph Jansen, Thomas Augustin, Martin Rechenauer
2025	J	`jnl`	Consensus in Motion: A Case of Dynamic Rationality of Sequential Learning in Probability Aggregation. CoRR Polina Gordienko, Christoph Jansen, Thomas Augustin, Martin Rechenauer
2025	—	`conf`	Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration for Exosuit Personalization. ECML/PKDD (8) Julian Rodemann, Federico Croppi, Philipp Arens, Yusuf Sale, Julia Herbinger, Bernd Bischl, Eyke Hüllermeier, Thomas Augustin, Conor J. Walsh, Giuseppe Casalicchio
2024	J	`jnl`	Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration. CoRR Julian Rodemann, Federico Croppi, Philipp Arens, Yusuf Sale, Julia Herbinger, Bernd Bischl, Eyke Hüllermeier, Thomas Augustin, Conor J. Walsh, Giuseppe Casalicchio
2024	J	`jnl`	Imprecise Bayesian optimization. Knowl. Based Syst. Julian Rodemann, Thomas Augustin
2024	J	`jnl`	Learning de-biased regression trees and forests from complex samples. Mach. Learn. Malte Nalenz, Julian Rodemann, Thomas Augustin
2024	A*	`conf`	Statistical Multicriteria Benchmarking via the GSD-Front. NeurIPS Christoph Jansen, Georg Schollmeyer, Julian Rodemann, Hannah Blocher, Thomas Augustin
2024	J	`jnl`	Statistical Multicriteria Benchmarking via the GSD-Front. CoRR Christoph Jansen, Georg Schollmeyer, Julian Rodemann, Hannah Blocher, Thomas Augustin
2024	J	`jnl`	Vorwort der Herausgeber. AStA Wirtschafts und Sozialstatistisches Arch. Jan Pablo Burgard, Markus Zwick, Florian Dumpert, Sebastian Wichert, Thomas Augustin, Nina Storfinger
2023	J	`jnl`	Approximate Bayes Optimal Pseudo-Label Selection. CoRR Julian Rodemann, Jann Goschenhofer, Emilio Dorigatti, Thomas Nagler, Thomas Augustin
2023	A	`conf`	Approximately Bayes-optimal pseudo-label selection. UAI Julian Rodemann, Jann Goschenhofer, Emilio Dorigatti, Thomas Nagler, Thomas Augustin
2023	J	`jnl`	Editorial issue 3 + 4, 2023. AStA Wirtschafts und Sozialstatistisches Arch. Florian Dumpert, Sebastian Wichert, Thomas Augustin, Nina Storfinger
2023	J	`jnl`	Evaluating machine learning models in non-standard settings: An overview and new findings. CoRR Roman Hornung, Malte Nalenz, Lennart Schneider, Andreas Bender, Ludwig Bothmann, Bernd Bischl, Thomas Augustin, Anne-Laure Boulesteix
2023	J	`jnl`	In all LikelihoodS: How to Reliably Select Pseudo-Labeled Data for Self-Training in Semi-Supervised Learning. CoRR Julian Rodemann, Christoph Jansen, Georg Schollmeyer, Thomas Augustin
2023	—	`conf`	In all likelihoods: robust selection of pseudo-labeled data. ISIPTA Julian Rodemann, Christoph Jansen, Georg Schollmeyer, Thomas Augustin
2023	B	`conf`	Multi-target Decision Making Under Conditions of Severe Uncertainty. MDAI Christoph Jansen, Georg Schollmeyer, Thomas Augustin
2023	J	`jnl`	Robust Statistical Comparison of Random Variables with Locally Varying Scale of Measurement. CoRR Christoph Jansen, Georg Schollmeyer, Hannah Blocher, Julian Rodemann, Thomas Augustin
2023	A	`conf`	Robust statistical comparison of random variables with locally varying scale of measurement. UAI Christoph Jansen, Georg Schollmeyer, Hannah Blocher, Julian Rodemann, Thomas Augustin
2023	J	`jnl`	Statistical Comparisons of Classifiers by Generalized Stochastic Dominance. J. Mach. Learn. Res. Christoph Jansen, Malte Nalenz, Georg Schollmeyer, Thomas Augustin
2022	—	`conf`	Accounting for Gaussian Process Imprecision in Bayesian Optimization. IUKM Julian Rodemann, Thomas Augustin
2022	A	`conf`	Compressed Rule Ensemble Learning. AISTATS Malte Nalenz, Thomas Augustin
2022	—	`conf`	Decision Making with State-Dependent Preference Systems. IPMU (1) Christoph Jansen, Thomas Augustin
2022	J	`jnl`	Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty. Int. J. Approx. Reason. Christoph Jansen, Hannah Blocher, Thomas Augustin, Georg Schollmeyer
2022	—	`conf`	Learning from Categorical Data Subject to Non-random Misclassification and Non-response Under Prior Quasi-Near-Ignorance Using an Imprecise Dirichlet Model. IPMU (2) Aziz Omar, Timo von Oertzen, Thomas Augustin
2022	—	`conf`	Levelwise Data Disambiguation by Cautious Superset Classification. SUM Julian Rodemann, Dominik Kreiss, Eyke Hüllermeier, Thomas Augustin
2022	J	`jnl`	Multi-Target Decision Making under Conditions of Severe Uncertainty. CoRR Christoph Jansen, Georg Schollmeyer, Thomas Augustin
2022	J	`jnl`	Nachruf Hans Schneeweiß. AStA Wirtschafts und Sozialstatistisches Arch. Thomas Augustin, Helmut Küchenhoff, Matthias Schmid
2022	J	`jnl`	Statistical Comparisons of Classifiers by Generalized Stochastic Dominance. CoRR Christoph Jansen, Malte Nalenz, Georg Schollmeyer, Thomas Augustin
2021	J	`jnl`	Accounting for Gaussian Process Imprecision in Bayesian Optimization. CoRR Julian Rodemann, Thomas Augustin
2021	—	`conf`	Imprecise Hypothesis-Based Bayesian Decision Making with Composite Hypotheses. ISIPTA Patrick Michael Schwaferts, Thomas Augustin
2021	J	`jnl`	Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty. CoRR Christoph Jansen, Hannah Blocher, Thomas Augustin, Georg Schollmeyer
2021	—	`conf`	Internal Validation of Unsupervised Clustering following an Association Accuracy Heuristic. BIBM Cornelia Fuetterer, Thomas Augustin
2021	—	`conf`	Towards Improving Electoral Forecasting by Including Undecided Voters and Interval-valued Prior Knowledge. ISIPTA Dominik Kreiss, Georg Schollmeyer, Thomas Augustin
2020	J	`jnl`	Adapted single-cell consensus clustering (adaSC3). Adv. Data Anal. Classif. Cornelia Fuetterer, Thomas Augustin, Christiane Fuchs
2020	—	`conf`	Undecided Voters as Set-Valued Information - Towards Forecasts Under Epistemic Imprecision. SUM Dominik Kreiss, Thomas Augustin
2019	—	`conf`	Constructing Simulation Data with Dependency Structure for Unreliable Single-Cell RNA-Sequencing Data Using Copulas. ISIPTA Cornelia Fuetterer, Georg Schollmeyer, Thomas Augustin
2019	J	`jnl`	Estimation of classification probabilities in small domains accounting for nonresponse relying on imprecise probability. Int. J. Approx. Reason. Aziz Omar, Thomas Augustin
2019	—	`conf`	Imprecise Hypothesis-Based Bayesian Decision Making with Simple Hypotheses. ISIPTA Patrick Michael Schwaferts, Thomas Augustin
2019	—	`conf`	Robust Bayes Factor for Independent Two-Sample Comparisons under Imprecise Prior Information. ISIPTA Luisa Ebner, Patrick Michael Schwaferts, Thomas Augustin
2018	J	`jnl`	A probabilistic evaluation framework for preference aggregation reflecting group homogeneity. Math. Soc. Sci. Christoph Jansen, Georg Schollmeyer, Thomas Augustin
2018	J	`jnl`	Concepts for decision making under severe uncertainty with partial ordinal and partial cardinal preferences. Int. J. Approx. Reason. Christoph Jansen, Georg Schollmeyer, Thomas Augustin
2018	—	`conf`	Estimation of Classification Probabilities in Small Domains Accounting for Nonresponse Relying on Imprecise Probability. SMPS Aziz Omar, Thomas Augustin
2018	—	`conf`	Imprecise Sampling Models for Modelling Unobserved Heterogeneity? Basic Ideas of a Credal Likelihood Concept. SUM Thomas Augustin
2018	J	`jnl`	Kurt Weichselberger's contribution to imprecise probabilities and statistical inference. Int. J. Approx. Reason. Thomas Augustin, Rudolf Seising
2017	—	`conf`	(Generalized) Linear Regression on Microaggregated Data - From Nuisance Parameter Optimization to Partial Identification. ISIPTA Paul Fink, Thomas Augustin
2017	—	`conf`	Concepts for Decision Making under Severe Uncertainty with Partial Ordinal and Partial Cardinal Preferences. ISIPTA Christoph Jansen, Georg Schollmeyer, Thomas Augustin
2017	C	`conf`	Decision Theory Meets Linear Optimization Beyond Computation. ECSQARU Christoph Jansen, Thomas Augustin, Georg Schollmeyer
2017	J	`jnl`	Imprecise probability: Theories and applications. Int. J. Approx. Reason. Thomas Augustin, Serena Doria, Massimo Marinacci
2017	—	`conf`	Kurt Weichselberger's Contribution to Imprecise Probabilities. ISIPTA Thomas Augustin, Rudolf Seising
2017	J	`jnl`	On the testability of coarsening assumptions: A hypothesis test for subgroup independence. Int. J. Approx. Reason. Julia Plass, Marco E. G. V. Cattaneo, Georg Schollmeyer, Thomas Augustin
2017	J	`jnl`	Special Issue: Ninth International Symposium on Imprecise Probability: Theory and Applications (ISIPTA'15). Int. J. Approx. Reason. Thomas Augustin, Serena Doria, Massimo Marinacci
2017	—	`conf`	Towards a Cautious Modelling of Missing Data in Small Area Estimation. ISIPTA Julia Plass, Aziz Omar, Thomas Augustin
2016	—	`conf`	Statistical Matching of Discrete Data by Bayesian Networks. Probabilistic Graphical Models Eva Endres, Thomas Augustin
2016	—	`conf`	Testing of Coarsening Mechanisms: Coarsening at Random Versus Subgroup Independence. SMPS Julia Plass, Marco E. G. V. Cattaneo, Georg Schollmeyer, Thomas Augustin
2015	J	`jnl`	Statistical modeling under partial identification: Distinguishing three types of identification regions in regression analysis with interval data. Int. J. Approx. Reason. Georg Schollmeyer, Thomas Augustin
2013	J	`jnl`	Information-based dissimilarity assessment in Dempster-Shafer theory. Knowl. Based Syst. Atiye Sarabi-Jamab, Babak Nadjar Araabi, Thomas Augustin
2012	J	`jnl`	Partially identified prevalence estimation under misclassification using the kappa coefficient. Int. J. Approx. Reason. Helmut Küchenhoff, Thomas Augustin, Anne Kunz
2011	—	`ch.`	Foundations of Probability. International Encyclopedia of Statistical Science Thomas Augustin, Marco E. G. V. Cattaneo
2011	—	`ch.`	Imprecise Probability. International Encyclopedia of Statistical Science Frank P. A. Coolen, Matthias C. M. Troffaes, Thomas Augustin
2010	J	`jnl`	Imprecise probability in statistical inference and decision making. Int. J. Approx. Reason. Thomas Augustin, Frank P. A. Coolen, Serafín Moral, Matthias C. M. Troffaes
2009	—	`conf`	A Contribution to Integrated Driver Modeling: A Coherent Framework for Modeling Both Non-routine and Routine Elements of the Driving Task. HCI (11) Andreas Mihalyi, Barbara Deml, Thomas Augustin
2009	J	`jnl`	A nonparametric predictive alternative to the Imprecise Dirichlet Model: The case of a known number of categories. Int. J. Approx. Reason. Frank P. A. Coolen, Thomas Augustin
2009	J	`jnl`	Imprecise probability models and their applications. Int. J. Approx. Reason. Thomas Augustin, Enrique Miranda, Jirina Vejnarová
2008	J	`jnl`	Bayesian learning for a class of priors with prescribed marginals. Int. J. Approx. Reason. Hermann Held, Thomas Augustin, Elmar Kriegler
2008	J	`jnl`	Conditional variable importance for random forests. BMC Bioinform. Carolin Strobl, Anne-Laure Boulesteix, Thomas Kneib, Thomas Augustin, Achim Zeileis
2007	J	`jnl`	Decision making under incomplete data using the imprecise Dirichlet model. Int. J. Approx. Reason. Lev V. Utkin, Thomas Augustin
2007	J	`jnl`	Unbiased split selection for classification trees based on the Gini Index. Comput. Stat. Data Anal. Carolin Strobl, Anne-Laure Boulesteix, Thomas Augustin
2005	—	`conf`	Decision making under incomplete data using the imprecise Dirichlet model. ISIPTA Lev V. Utkin, Thomas Augustin
2005	J	`jnl`	Generalized basic probability assignments. Int. J. Gen. Syst. Thomas Augustin
2005	—	`conf`	Learning from multinomial data: a nonparametric predictive alternative to the Imprecise Dirichlet Model. ISIPTA Frank P. A. Coolen, Thomas Augustin
2005	—	`conf`	Powerful algorithms for decision making under partial prior information and general ambiguity attitudes. ISIPTA Lev V. Utkin, Thomas Augustin
2003	—	`conf`	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 Thomas Augustin
2003	—	`conf`	On the Symbiosis of Two Concepts of Conditional Interval Probability. ISIPTA Kurt Weichselberger, Thomas Augustin
2001	—	`conf`	On Decision Making under Ambiguous Prior and Sampling Information. ISIPTA Thomas Augustin
1999	—	`conf`	Globally Least Favorable Pairs and Neyman-Pearson Testing under Interval Probability. ISIPTA Thomas Augustin