4 citations · 9 across the 14 of their papers we have counts for
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cs.LG2021★ 1 cited
CONFAIR: Configurable and Interpretable Algorithmic Fairness
Ankit Kulshrestha, Ilya Safro
The rapid growth of data in the recent years has led to the development of complex learning algorithms that are often used to make decisions in real world. While the positive impac…
cs.LG2021
Coping with Mistreatment in Fair Algorithms
Ankit Kulshrestha, Ilya Safro
Machine learning actively impacts our everyday life in almost all endeavors and domains such as healthcare, finance, and energy. As our dependence on the machine learning increases…
cs.IR2021★ 2 cited
Accelerating COVID-19 research with graph mining and transformer-based learning
Ilya Tyagin, Ankit Kulshrestha, Justin Sybrandt +3
In 2020, the White House released the, "Call to Action to the Tech Community on New Machine Readable COVID-19 Dataset," wherein artificial intelligence experts are asked to collect…