@inproceedings{86184be9d1924154aab7007fc6e3071d,
title = "Convergence of Binarized Context-tree Weighting for Estimating Distributions of Stationary Sources",
abstract = "This work investigates the convergence rate of learning the stationary distribution of finite-alphabet stationary ergodic sources using a binarized context-tree weighting approach. The binarized context-tree weighting (overline mathbf Cmathbf Tmathbf W) algorithm estimates the stationary distribution of a symbol as a product of conditional distributions of each component bit, which are determined in a sequential manner using the well known binary context-tree weighting method.",
author = "Vellambi, \{Badri N.\} and Marcus Hutter",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Symposium on Information Theory, ISIT 2018 ; Conference date: 17-06-2018 Through 22-06-2018",
year = "2018",
month = aug,
day = "15",
doi = "10.1109/ISIT.2018.8437737",
language = "English",
isbn = "9781538647806",
series = "IEEE International Symposium on Information Theory - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "731--735",
booktitle = "2018 IEEE International Symposium on Information Theory, ISIT 2018",
address = "United States",
}