Bayesian Active Learning Using Arbitrary Binary Valued Queries
Abstract
We explore a general Bayesian active learning setting, in which the learner can ask arbitrary yes/no questions. We derive upper and lower bounds on the expected number of queries required to achieve a specified expected risk.
Cite
Text
Yang et al. "Bayesian Active Learning Using Arbitrary Binary Valued Queries." International Conference on Algorithmic Learning Theory, 2010. doi:10.1007/978-3-642-16108-7_8Markdown
[Yang et al. "Bayesian Active Learning Using Arbitrary Binary Valued Queries." International Conference on Algorithmic Learning Theory, 2010.](https://mlanthology.org/alt/2010/yang2010alt-bayesian/) doi:10.1007/978-3-642-16108-7_8BibTeX
@inproceedings{yang2010alt-bayesian,
title = {{Bayesian Active Learning Using Arbitrary Binary Valued Queries}},
author = {Yang, Liu and Hanneke, Steve and Carbonell, Jaime G.},
booktitle = {International Conference on Algorithmic Learning Theory},
year = {2010},
pages = {50-58},
doi = {10.1007/978-3-642-16108-7_8},
url = {https://mlanthology.org/alt/2010/yang2010alt-bayesian/}
}