Locally Private Gaussian Estimation.
Matthew Joseph; Janardhan Kulkarni; Jieming Mao; and Steven Z. Wu.
In H. Wallach; H. Larochelle; A. Beygelzimer; F. Alché-Buc; E. Fox; and R. Garnett., editor(s),
Advances in Neural Information Processing Systems 32, pages 2984–2993. Curran Associates, Inc., 2019.
link
bibtex
@incollection{JosephKMW19,
author = {Joseph, Matthew and Kulkarni, Janardhan and
Mao, Jieming and Wu, Steven Z.},
booktitle = {Advances in Neural Information Processing Systems 32},
editor = {H. Wallach and H. Larochelle and A. Beygelzimer and
F. d\textquotesingle Alch\'{e}-Buc and E. Fox and
R. Garnett},
pages = {2984--2993},
publisher = {Curran Associates, Inc.},
title = {Locally Private Gaussian Estimation},
year = {2019},
}
Lower Bounds for Locally Private Estimation via Communication Complexity.
John Duchi; and Ryan Rogers.
In Alina Beygelzimer; and Daniel Hsu., editor(s),
Proceedings of the Thirty-Second Conference on Learning Theory, volume 99, of
Proceedings of Machine Learning Research, pages 1161–1191, Phoenix, USA, June 2019. PMLR
link
bibtex
@inproceedings{DuchR19,
address = {Phoenix, USA},
author = {Duchi, John and Rogers, Ryan},
booktitle = {Proceedings of the Thirty-Second Conference on
Learning Theory},
editor = {Beygelzimer, Alina and Hsu, Daniel},
month = jun,
pages = {1161--1191},
publisher = {PMLR},
series = {Proceedings of Machine Learning Research},
title = {Lower Bounds for Locally Private Estimation via
Communication Complexity},
volume = {99},
year = {2019},
}
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication.
Jayadev Acharya; Ziteng Sun; and Huanyu Zhang.
In Kamalika Chaudhuri; and Masashi Sugiyama., editor(s),
Proceedings of Machine Learning Research, volume 89, pages 1120–1129, 16–18 Apr 2019. PMLR
Paper
link
bibtex
1 download
@inproceedings{AcharyaSZ19,
author = {Acharya, Jayadev and Sun, Ziteng and Zhang, Huanyu},
booktitle = {Proceedings of Machine Learning Research},
editor = {Chaudhuri, Kamalika and Sugiyama, Masashi},
month = {16--18 Apr},
pages = {1120--1129},
publisher = {PMLR},
series = {Proceedings of Machine Learning Research},
title = {Hadamard Response: Estimating Distributions
Privately, Efficiently, and with Little
Communication},
volume = {89},
year = {2019},
url = {http://proceedings.mlr.press/v89/acharya19a.html},
}
Communication and Memory Efficient Testing of Discrete Distributions.
Ilias Diakonikolas; Themis Gouleakis; Daniel M. Kane; and Sankeerth Rao.
In
COLT, volume 99, of
Proceedings of Machine Learning Research, pages 1070–1106, 2019. PMLR
link
bibtex
@inproceedings{DiakonikolasGKR19,
author = {Ilias Diakonikolas and
Themis Gouleakis and
Daniel M. Kane and
Sankeerth Rao},
title = {Communication and Memory Efficient Testing of Discrete Distributions},
booktitle = {{COLT}},
series = {Proceedings of Machine Learning Research},
volume = {99},
pages = {1070--1106},
publisher = {{PMLR}},
year = {2019}
}