# PAC-Bayesian Inequalities for Martingales

@article{Seldin2012PACBayesianIF, title={PAC-Bayesian Inequalities for Martingales}, author={Yevgeny Seldin and François Laviolette and Nicol{\`o} Cesa-Bianchi and John Shawe-Taylor and Peter Auer}, journal={IEEE Transactions on Information Theory}, year={2012}, volume={58}, pages={7086-7093} }

We present a set of high-probability inequalities that control the concentration of weighted averages of multiple (possibly uncountably many) simultaneously evolving and interdependent martingales. Our results extend the PAC-Bayesian (probably approximately correct) analysis in learning theory from the i.i.d. setting to martingales opening the way for its application to importance weighted sampling, reinforcement learning, and other interactive learning domains, as well as many other domains in…

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