• Corpus ID: 221006192

# Concentration Bounds for Co-occurrence Matrices of Markov Chains

@article{Qiu2020ConcentrationBF,
title={Concentration Bounds for Co-occurrence Matrices of Markov Chains},
author={Jiezhong Qiu and Chi Wang and Ben Liao and Richard Peng and Jie Tang},
journal={ArXiv},
year={2020},
volume={abs/2008.02464}
}
• Published 6 August 2020
• Computer Science, Mathematics
• ArXiv
Co-occurrence statistics for sequential data are common and important data signals in machine learning, which provide rich correlation and clustering information about the underlying object space. We give the first bound on the convergence rate of estimating the co-occurrence matrix of a regular (aperiodic and irreducible) finite Markov chain from a single random trajectory. Our work is motivated by the analysis of a well-known graph learning algorithm DeepWalk by [Qiu et al. WSDM '18], who…
1 Citations

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