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Empirical PAC-Bayes Bounds for Markov Chains

Karagulyan, Vahe et al.
arXiv (All) · Papers
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machine-learning
The core of generalization theory was developed for independent observations. Some PAC and PAC-Bayes bounds are available for data that exhibit a temporal dependence. However, there are constants in these bounds that depend on properties of the data-generating process: mixing coefficients, mixing ti
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