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Juan Andrés Bazerque

2 accepted papers

2023

Multi-Task Bias-Variance Trade-Off Through Functional Constraints

ICASSP 2023accepted

Multi-task learning aims to acquire a set of functions, either regressors or classifiers, that perform well for diverse tasks. At its core, the idea behind multi-task learning is to exploit the intrinsic similarity across data sources to aid in the learning process for each individual domain. In thi…

Cited by 0SourceScholar
2018

Stochastic Optimization of Power Systems with Risk Constraints And Sparsely Distributed Storage

ICASSP 2018accepted

The power grid is experiencing a profound transformation in recent years with the proliferation of renewable sources and the advance of bulk storage technologies. These changes have been anticipated in the literature of signal processing and control, where several new techniques for the optimal oper…

Cited by 0SourceScholar