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05/31/2023
Doubly Constrained Fair Clustering
The remarkable attention which fair clustering has received in the last ...
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05/28/2022
Fair Labeled Clustering
Numerous algorithms have been produced for the fundamental problem of cl...
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03/02/2022
Centralized Fairness for Redistricting
In representative democracy, the electorate is often partitioned into di...
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01/16/2022
Rawlsian Fairness in Online Bipartite Matching: Two-sided, Group, and Individual
Online bipartite-matching platforms are ubiquitous and find applications...
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06/14/2021
Fair Clustering Under a Bounded Cost
Clustering is a fundamental unsupervised learning problem where a datase...
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06/09/2021
A New Notion of Individually Fair Clustering: α-Equitable k-Center
Clustering is a fundamental problem in unsupervised machine learning, an...
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06/19/2020
Probabilistic Fair Clustering
In clustering problems, a central decision-maker is given a complete met...
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05/25/2018
An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm
Latent Dirichlet Allocation (LDA) is a powerful probabilistic model used...
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12/14/2016
