21 citations · 58 across the 36 of their papers we have counts for
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stat.ME2020
Non-parametric Quantile Regression via the K-NN Fused Lasso
Steven Siwei Ye, Oscar Hernan Madrid Padilla
Quantile regression is a statistical method for estimating conditional quantiles of a response variable. In addition, for mean estimation, it is well known that quantile regression…
math.ST2020
Quantile regression with deep ReLU Networks: Estimators and minimax rates
Oscar Hernan Madrid Padilla, Wesley Tansey, Yanzhen Chen
Quantile regression is the task of estimating a specified percentile response, such as the median, from a collection of known covariates. We study quantile regression with rectifie…
math.OC2020
Extensions to the Proximal Distance Method of Constrained Optimization
Alfonso Landeros, Oscar Hernan Madrid Padilla, Hua Zhou +1
The current paper studies the problem of minimizing a loss subject to constraints of the form , where is a closed set, c…