Trade-offs in Large-Scale Distributed Tuplewise Estimation and Learning

1 code implementation • 21 Jun 2019 • Robin Vogel, Aurélien Bellet, Stephan Clémençon, Ons Jelassi, Guillaume Papa

The development of cluster computing frameworks has allowed practitioners to scale out various statistical estimation and machine learning algorithms with minimal programming effort.

BIG-bench Machine Learning Clustering +2