research
∙
02/06/2023
Fair Minimum Representation Clustering
Clustering is an unsupervised learning task that aims to partition data ...
share
research
∙
11/09/2022
A Note on Task-Aware Loss via Reweighing Prediction Loss by Decision-Regret
In this short technical note we propose a baseline for decision-aware le...
research
∙
10/17/2022
Cluster Explanation via Polyhedral Descriptions
Clustering is an unsupervised learning problem that aims to partition un...
research
∙
12/10/2021
Interpretable Clustering via Multi-Polytope Machines
Clustering is a popular unsupervised learning tool often used to discove...
research
∙
11/16/2021
Interpretable and Fair Boolean Rule Sets via Column Generation
This paper considers the learning of Boolean rules in either disjunctive...
research
∙
07/03/2021