Michael Lohaus
Michael Lohaus
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Type
Conference paper
Preprint
Date
2022
2021
2020
2019
Michael Lohaus
,
Matthäus Kleindessner
,
Krishnaram Kenthapadi
,
Francesco Locatello
,
Chris Russell
(2022).
Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks
. In
NeurIPS 2022
.
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Dominik Zietlow
,
Michael Lohaus
,
Guha Balakrishnan
,
Matthäus Kleindessner
,
Francesco Locatello
,
Bernhard Schölkopf
,
Chris Russell
(2022).
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers
. IN
CVPR 2022
.
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Leena C Vankadara*
,
Michael Lohaus*
,
Siavash Haghiri
,
Faiz Ul Wahab
,
Ulrike von Luxburg
(2021).
Insights into Ordinal Embedding Algorithms: A Systematic Evaluation
. A Pre-Print.
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Michael Lohaus
,
Michaël Perrot
,
Ulrike von Luxburg
(2020).
Too Relaxed to Be Fair
. In
ICML 2020
.
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Code
Video/Slides
Michael Lohaus
,
Philipp Hennig
,
Ulrike von Luxburg
(2019).
Uncertainty Estimates for Ordinal Embeddings
. A Pre-Print.
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