Machine Learning Lab

Robertson, Jake; Reuter, Arik; Guo, Siyuan; Hollmann, Noah; Hutter, Frank; Schölkopf, Bernhard

Do-PFN: In-Context Learning for Causal Effect Estimation Inproceedings

In: Foundation Models for Structured Data workshop at ICML, 2025.

Robertson, Jake; Hollmann, Noah; Müller, Samuel Gabriel; Awad, Noor; Hutter, Frank

FairPFN: A Tabular Foundation Model for Causal Fairness Inproceedings

In: Proceedings of the 42nd International Conference on Machine Learning (ICML), 2025.

Robertson, Jake; Schmidt, Thorsten; Hutter, Frank; Awad, Noor

A Human-in-the-Loop Fairness-Aware Model Selection Framework for Complex Fairness Objective Landscapes Inproceedings

In: Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24), 2024.