This repo implements the experiments for the paper:
Quantile regression with ReLU Networks: Estimators and minimax rates
O.H.M. Padilla, W. Tansey, and Y. Chen
https://arxiv.org/abs/2010.08236
The code in python/neural_model.py
implements a deep neural network quantile regression model for both univariate and multivariate responses.
Everything is implemented in python3
with pytorch
plus plotting with seaborn
--- usual dependencies apply.