AISTATS 2016poster226 citations
Controlling Bias in Adaptive Data Analysis Using Information Theory
Abstract
Modern big data settings often involve messy, high-dimensional data, where it is not clear
BibTeX
@InProceedings{pmlr-v51-russo16,
title = {Controlling Bias in Adaptive Data Analysis Using Information Theory},
author = {Russo, Daniel and Zou, James},
booktitle = {Proceedings of the 19th International Conference on Artificial Intelligence and Statistics},
pages = {1232--1240},
year = {2016},
editor = {Gretton, Arthur and Robert, Christian C.},
volume = {51},
series = {Proceedings of Machine Learning Research},
address = {Cadiz, Spain},
month = {09--11 May},
publisher = {PMLR},
pdf = {http://proceedings.mlr.press/v51/russo16.pdf},
url = {https://proceedings.mlr.press/v51/russo16.html},
abstract = {Modern big data settings often involve messy, high-dimensional data, where it is not clear