2 papers
stat.ME2021
On Computationally-Scalable Spatio-Temporal Regression Clustering of Precipitation Threshold Excesses
Olga Kaiser, Dimitri Igdalov, Olivia Martius +1
Focusing on regression based analysis of extremes in a presence of systematically missing covariates, this work presents a data-driven spatio-temporal regression based clustering o…
cs.LG2020
On a scalable entropic breaching of the overfitting barrier in machine learning
Illia Horenko
Overfitting and treatment of "small data" are among the most challenging problems in the machine learning (ML), when a relatively small data statistics size is not enough to pr…