2 papers
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…
stat.ME2018
Adaptive Non-Parametric Regression With the -NN Fused Lasso
Oscar Hernan Madrid Padilla, James Sharpnack, Yanzhen Chen +1
The fused lasso, also known as total-variation denoising, is a locally-adaptive function estimator over a regular grid of design points. In this paper, we extend the fused lasso to…