Benedikt Höltgen

According to our database, Benedikt Höltgen authored at least 10 papers between 2021 and 2026.

Collaborative distances:

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

2026

The Costs of Pretending That There Are Data-Generating Probability Distributions in the Social World.

Benedikt Höltgen, Robert Charles Williamson

Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, 2026

Between and Beyond: Designing for Identity Complexity in HCI.

Miriam Doh, Piera Riccio, Benedikt Höltgen, Olivia Lopez Calderon, Monique Munarini, Corinna Canali, Shirley Ogolla, Nuria Oliver

Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

Position: The Categorization of Race in ML is a Flawed Premise.

Miriam Doh, Benedikt Höltgen, Piera Riccio, Nuria Oliver

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Reconsidering Fairness Through Unawareness From the Perspective of Model Multiplicity.

Benedikt Höltgen, Nuria Oliver

Proceedings of the 5th ACM Conference on Equity and Access in Algorithms, 2025

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