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08/17/2023
Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces
As responsible AI gains importance in machine learning algorithms, prope...
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07/19/2022
Sample Efficient Learning of Predictors that Complement Humans
One of the goals of learning algorithms is to complement and reduce the ...
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05/07/2021
Pairwise Fairness for Ordinal Regression
We initiate the study of fairness for ordinal regression, or ordinal cla...
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06/17/2020
Socially Fair k-Means Clustering
We show that the popular k-means clustering algorithm (Lloyd's heuristic...
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02/28/2019
Fair Dimensionality Reduction and Iterative Rounding for SDPs
We model "fair" dimensionality reduction as an optimization problem. A c...
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01/24/2019
Guarantees for Spectral Clustering with Fairness Constraints
Given the widespread popularity of spectral clustering (SC) for partitio...
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10/31/2018
The Price of Fair PCA: One Extra Dimension
We investigate whether the standard dimensionality reduction technique o...
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12/11/2017