1 code implementation • NeurIPS 2019 • Axel Brando, Jose A. Rodríguez-Serrano, Jordi Vitrià, Alberto Rubio
In this paper, we propose a generic deep learning framework that learns an Uncountable Mixture of Asymmetric Laplacians (UMAL), which will allow us to estimate heterogeneous distributions of the output variable and shows its connections to quantile regression.
no code implementations • 27 Mar 2018 • Roberto Maestre, Juan Duque, Alberto Rubio, Juan Arévalo
Unfair pricing policies have been shown to be one of the most negative perceptions customers can have concerning pricing, and may result in long-term losses for a company.