Benedikt Höltgen

According to our database, Benedikt Höltgen authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Five reasons against assuming a data-generating distribution in Machine Learning.

Benedikt Höltgen, Robert C. Williamson

CoRR, 2024

Causal modelling without counterfactuals and individualised effects.

Benedikt Höltgen, Robert C. Williamson

CoRR, 2024

2023

On the Richness of Calibration.

Benedikt Höltgen, Robert C. Williamson

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

Prioritized Training on Points that are Learnable, Worth Learning, and not yet Learnt.

Sören Mindermann, Jan Markus Brauner, Muhammed Razzak, Mrinank Sharma, Andreas Kirsch, Winnie Xu, Benedikt Höltgen, Aidan N. Gomez, Adrien Morisot, Sebastian Farquhar, Yarin Gal

Proceedings of the International Conference on Machine Learning, 2022

2021

DeDUCE: Generating Counterfactual Explanations Efficiently.

Benedikt Höltgen, Lisa Schut, Jan Markus Brauner, Yarin Gal

CoRR, 2021

Encoding Causal Macrovariables.

Benedikt Höltgen

CoRR, 2021