PAC-Bayes Iterated Logarithm Bounds for Martingale Mixtures
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Abstract (arXiv)
We give tight concentration bounds for mixtures of martingales that are simultaneously uniform over (a) mixture distributions, in a PAC-Bayes sense; and (b) all finite times. These bounds are proved in terms of the martingale variance, extending classical Bernstein inequalities, and sharpening and simplifying prior work.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Jun 2015.
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Citing papers per year: 2022: 2; 2023: 1.
3 papers.