| Prioritized training on points that are learnable, worth learning, and not yet learnt S Mindermann, JM Brauner, MT Razzak, M Sharma, A Kirsch, W Xu, ... International Conference on Machine Learning, 15630-15649, 2022 | 97 | 2022 |
| DeDUCE: Generating Counterfactual Explanations Efficiently B Höltgen, L Schut, JM Brauner, Y Gal NeurIPS 2021 Workshop on eXplainable AI approaches for debugging and …, 2021 | 9* | 2021 |
| Moral discourse boosts confidence in moral judgments N Heinzelmann, BTA Höltgen, V Tran Philosophical Psychology 34 (8), 1192-1216, 2021 | 7 | 2021 |
| On the Richness of Calibration B Höltgen, RC Williamson ACM Conference on Fairness, Accountability, and Transparency (FAccT '23), 2023 | 6 | 2023 |
| Encoding Causal Macrovariables B Höltgen NeurIPS 2021 Workshop on Causal Inference & Machine Learning: Why now? (WHY-21), 2021 | 3 | 2021 |
| Structure-sensitive testimonial norms BTA Höltgen European Journal for Philosophy of Science 11 (3), 80, 2021 | | 2021 |
| 2019 MELESSA N Heinzelmann, B Höltgen, V Tran, GG May OSF, 2019 | | 2019 |
| Practical foundations for probability: Prediction methods and calibration B Höltgen | | |
