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Concentration and Confidence for Discrete Bayesian Sequence Predictors

Lattimore, Tor; Hutter, Marcus; Sunehag, Peter


Bayesian sequence prediction is a simple technique for predicting future symbols sampled from an unknown measure on infinite sequences over a countable alphabet. While strong bounds on the expected cumulative error are known, there are only limited result

CollectionsANU Research Publications
Date published: 2013
Type: Conference paper
Source: Algorithmic learning theory : 24th international conference, ALT 2013, Singapore, October 6-9 2013 : proceedings
DOI: 10.1007/978-3-642-40935-6_23
Access Rights: Open Access


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