Search Results for author: Alberto Rubio

Found 2 papers, 1 papers with code

Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians

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.

Decision Making regression

Reinforcement Learning for Fair Dynamic Pricing

no code implementations27 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.

Fairness reinforcement-learning +1

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