English

Modifying Squint for Prediction with Expert Advice in a Changing Environment

Machine Learning 2022-09-16 v1

Abstract

We provide a new method for online learning, specifically prediction with expert advice, in a changing environment. In a non-changing environment the Squint algorithm has been designed to always function at least as well as other known algorithms and in specific cases it functions much better. However, when using a conventional black-box algorithm to make Squint suitable for a changing environment, it loses its beneficial properties. Hence, we provide a new algorithm, Squint-CE, which is suitable for a changing environment and preserves the properties of Squint.

Keywords

Cite

@article{arxiv.2209.06826,
  title  = {Modifying Squint for Prediction with Expert Advice in a Changing Environment},
  author = {Thom Neuteboom and Tim van Erven},
  journal= {arXiv preprint arXiv:2209.06826},
  year   = {2022}
}
R2 v1 2026-06-28T01:18:34.811Z