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Matthäus Kleindessner

Inference Optimization of Foundation Models on AI Accelerators

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Jul 12, 2024
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Efficient fair PCA for fair representation learning

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Feb 26, 2023
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Individual Preference Stability for Clustering

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Jul 07, 2022
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Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks

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Apr 09, 2022
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Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers

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Mar 31, 2022
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Score matching enables causal discovery of nonlinear additive noise models

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Mar 08, 2022
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Backward-Compatible Prediction Updates: A Probabilistic Approach

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Jul 02, 2021
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Pairwise Fairness for Ordinal Regression

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May 07, 2021
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Adaptive Sampling to Reduce Disparate Performance

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Jun 11, 2020
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A Notion of Individual Fairness for Clustering

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Jun 08, 2020
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