@inproceedings{gopi2020locally,
author = {Gopi, Sivakanth and Kamath, Gautam and Kulkarni, Janardhan (Jana) and Nikolov, Aleksandar and Wu, Zhiwei Steven and Zhang, Huanyu},
title = {Locally Private Hypothesis Selection},
booktitle = {Conference on Learning Theory (COLT) 2020},
year = {2020},
month = {July},
abstract = {We initiate the study of hypothesis selection under local differential privacy. Given samples from an unknown probability distribution p and a set of k probability distributions Q, we aim to output, under the constraints of ε-local differential privacy, a distribution from Q whose total variation distance to p is comparable to the best such distribution.},
url = {http://approjects.co.za/?big=en-us/research/publication/locally-private-hypothesis-selection/},
}