3 citations · 4 across the 2 of their papers we have counts for
2 papers
math.ST2019★ 1 cited
Fair quantile regression
Dana Yang, John Lafferty, David Pollard
Quantile regression is a tool for learning conditional distributions. In this paper we study quantile regression in the setting where a protected attribute is unavailable when fitt…
math.ST2019★ 3 cited
The cost-free nature of optimally tuning Tikhonov regularizers and other ordered smoothers
Pierre C Bellec, Dana Yang
We consider the problem of selecting the best estimator among a family of Tikhonov regularized estimators, or, alternatively, to select a linear combination of these regularizers t…