Minimizing Statistical Bias with Queries
Abstract
I describe a querying criterion that attempts to minimize the error of a learner by minimizing its estimated squared bias. I describe experiments with locally-weighted regression on two simple prob(cid:173) lems, and observe that this "bias-only" approach outperforms the more common "variance-only" exploration approach, even in the presence of noise.
Cite
Text
Cohn. "Minimizing Statistical Bias with Queries." Neural Information Processing Systems, 1996.Markdown
[Cohn. "Minimizing Statistical Bias with Queries." Neural Information Processing Systems, 1996.](https://mlanthology.org/neurips/1996/cohn1996neurips-minimizing/)BibTeX
@inproceedings{cohn1996neurips-minimizing,
title = {{Minimizing Statistical Bias with Queries}},
author = {Cohn, David A.},
booktitle = {Neural Information Processing Systems},
year = {1996},
pages = {417-423},
url = {https://mlanthology.org/neurips/1996/cohn1996neurips-minimizing/}
}