Optimal AdaBoost Converges
Machine Learning
2023-10-17 v4 Machine Learning
Dynamical Systems
Abstract
The following work is a preprint collection of formal proofs regarding the convergence properties of the AdaBoost machine learning algorithm's classifier and margins. Various math and computer science papers have been written regarding conjectures and special cases of these convergence properties. Furthermore, the margins of AdaBoost feature prominently in the research surrounding the algorithm. At the zenith of this paper we present how AdaBoost's classifier and margins converge on a value that agrees with decades of research. After this, we show how various quantities associated with the combined classifier converge.
Keywords
Cite
@article{arxiv.2210.07808,
title = {Optimal AdaBoost Converges},
author = {Conor Snedeker},
journal= {arXiv preprint arXiv:2210.07808},
year = {2023}
}