Proofs and additional experiments on Second order techniques for learning time-series with structural breaks

Abstract

We provide complete proofs of the lemmas about the properties of the regularized loss function that is used in the second order techniques for learning time-series with structural breaks in Osogami (2021). In addition, we show experimental results that support the validity of the techniques.

arXiv comment10 pages, 9 figures