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02/03/2022
Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics
The harmful impacts of algorithmic decision systems have recently come i...
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05/18/2021
Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency
Twitter uses machine learning to crop images, where crops are centered a...
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02/05/2021
Fast and Memory Efficient Differentially Private-SGD via JL Projections
Differentially Private-SGD (DP-SGD) of Abadi et al. (2016) and its varia...
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06/19/2020
λ-Regularized A-Optimal Design and its Approximation by λ-Regularized Proportional Volume Sampling
In this work, we study the λ-regularized A-optimal design problem and in...
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04/16/2020
Maximizing Determinants under Matroid Constraints
Given vectors v_1,…,v_n∈ℝ^d and a matroid M=([n],I), we study the proble...
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12/06/2019
Differentially Private Mixed-Type Data Generation For Unsupervised Learning
In this work we introduce the DP-auto-GAN framework for synthetic data g...
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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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10/31/2018
The Price of Fair PCA: One Extra Dimension
We investigate whether the standard dimensionality reduction technique o...
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03/16/2018