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Jordi Vitria

2 accepted papers

2022

Deep Non-crossing Quantiles through the Partial Derivative

AISTATS 2022poster

Quantile Regression (QR) provides a way to approximate a single conditional quantile. To have a more informative description of the conditional distribution, QR can be merged with deep learning techniques to simultaneously estimate multiple quantiles. However, the minimisation of the QR-loss functio…

Cited by 16SourcePDFScholar
2019

Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians

NeurIPS 2019poster

In regression tasks, aleatoric uncertainty is commonly addressed by considering a parametric distribution of the output variable, which is based on strong assumptions such as symmetry, unimodality or by supposing a restricted shape. These assumptions are too limited in scenarios where complex shapes…