7 citations · 17 across the 11 of their papers we have counts for
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cs.LG2021★ 4 cited
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning
Cyrus Cousins
We address an inherent difficulty in welfare-theoretic fair machine learning by proposing an equivalently axiomatically-justified alternative and studying the resulting computation…
cs.LG2020★ 7 cited
MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining
Leonardo Pellegrina, Cyrus Cousins, Fabio Vandin +1
We present MCRapper, an algorithm for efficient computation of Monte-Carlo Empirical Rademacher Averages (MCERA) for families of functions exhibiting poset (e.g., lattice) structur…