Star algorithm for NN ensembling
From MaRDI portal
Publication:6400762
arXiv2206.00255MaRDI QIDQ6400762
Author name not available (Why is that?)
Publication date: 1 June 2022
Abstract: Neural network ensembling is a common and robust way to increase model efficiency. In this paper, we propose a new neural network ensemble algorithm based on Audibert's empirical star algorithm. We provide optimal theoretical minimax bound on the excess squared risk. Additionally, we empirically study this algorithm on regression and classification tasks and compare it to most popular ensembling methods.
Has companion code repository: https://github.com/mordiggian174/star-ensembling
This page was built for publication: Star algorithm for NN ensembling
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6400762)