1.9k citations · 2k across the 12 of their papers we have counts for
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cs.LG2022
Hardness and Algorithms for Robust and Sparse Optimization
Eric Price, Sandeep Silwal, Samson Zhou
We explore algorithms and limitations for sparse optimization problems such as sparse linear regression and robust linear regression. The goal of the sparse linear regression probl…
cs.LG2016★ 1.9k cited
Equality of Opportunity in Supervised Learning
Moritz Hardt, Eric Price, Nathan Srebro
We propose a criterion for discrimination against a specified sensitive attribute in supervised learning, where the goal is to predict some target based on available features. Assu…
cs.LG2014★ 1 cited
Tight bounds for learning a mixture of two gaussians
Moritz Hardt, Eric Price
We consider the problem of identifying the parameters of an unknown mixture of two arbitrary -dimensional gaussians from a sequence of independent random samples. Our main resul…