Michael Lohaus

According to our database, Michael Lohaus authored at least 6 papers between 2019 and 2023.

Collaborative distances:

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

2023

Insights into Ordinal Embedding Algorithms: A Systematic Evaluation.

Leena Chennuru Vankadara, Michael Lohaus, Siavash Haghiri, Faiz Ul Wahab, Ulrike von Luxburg

J. Mach. Learn. Res., 2023

2022

Limitations of Fairness in Machine Learning

Michael Lohaus

PhD thesis, 2022

Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks.

Michael Lohaus, Matthäus Kleindessner, Krishnaram Kenthapadi, Francesco Locatello, Chris Russell

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers.

Dominik Zietlow, Michael Lohaus, Guha Balakrishnan, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, Chris Russell

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

Too Relaxed to Be Fair.

Michael Lohaus, Michaël Perrot, Ulrike von Luxburg

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Uncertainty Estimates for Ordinal Embeddings.

Michael Lohaus, Philipp Hennig, Ulrike von Luxburg

CoRR, 2019