A Vector Bernstein Inequality for Self-Normalized Martingales

Fuente: arXiv
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1. Verfasser: Ziemann, Ingvar
Format: Preprint
Veröffentlicht: 2024
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author Ziemann, Ingvar
author_facet Ziemann, Ingvar
contents We prove a Bernstein inequality for vector-valued self-normalized martingales. We first give an alternative perspective of the corresponding sub-Gaussian bound due to Abbasi-Yadkori et al. via a PAC-Bayesian argument with Gaussian priors. By instantiating this argument to priors drawn uniformly over well-chosen ellipsoids, we obtain a Bernstein bound.
format Preprint
id arxiv_https___arxiv_org_abs_2412_20949
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Vector Bernstein Inequality for Self-Normalized Martingales
Ziemann, Ingvar
Probability
We prove a Bernstein inequality for vector-valued self-normalized martingales. We first give an alternative perspective of the corresponding sub-Gaussian bound due to Abbasi-Yadkori et al. via a PAC-Bayesian argument with Gaussian priors. By instantiating this argument to priors drawn uniformly over well-chosen ellipsoids, we obtain a Bernstein bound.
title A Vector Bernstein Inequality for Self-Normalized Martingales
topic Probability
url https://arxiv.org/abs/2412.20949