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ORCIDBibTeX records: Matthew Joseph
@inproceedings{DBLP:conf/iclr/0002JRV23,
author = {Kareem Amin and
Matthew Joseph and
M{\'{o}}nica Ribero and
Sergei Vassilvitskii},
title = {Easy Differentially Private Linear Regression},
booktitle = {The Eleventh International Conference on Learning Representations,
{ICLR} 2023, Kigali, Rwanda, May 1-5, 2023},
publisher = {OpenReview.net},
year = {2023},
url = {https://openreview.net/pdf?id=rSUCajhLsQ},
timestamp = {Fri, 30 Jun 2023 14:38:38 +0200},
biburl = {https://dblp.org/rec/conf/iclr/0002JRV23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/DickGJ23,
author = {Travis Dick and
Jennifer Gillenwater and
Matthew Joseph},
editor = {Alice Oh and
Tristan Naumann and
Amir Globerson and
Kate Saenko and
Moritz Hardt and
Sergey Levine},
title = {Better Private Linear Regression Through Better Private Feature Selection},
booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference
on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans,
LA, USA, December 10 - 16, 2023},
year = {2023},
url = {http://papers.nips.cc/paper\_files/paper/2023/hash/a79699db176ed0efc04a9da171e52112-Abstract-Conference.html},
timestamp = {Fri, 01 Mar 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nips/DickGJ23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2306-00920,
author = {Travis Dick and
Jennifer Gillenwater and
Matthew Joseph},
title = {Better Private Linear Regression Through Better Private Feature Selection},
journal = {CoRR},
volume = {abs/2306.00920},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2306.00920},
doi = {10.48550/ARXIV.2306.00920},
eprinttype = {arXiv},
eprint = {2306.00920},
timestamp = {Mon, 12 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2306-00920.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2309-15790,
author = {Matthew Joseph and
Alexander Yu},
title = {Some Efficient and Optimal K-Norm Mechanisms},
journal = {CoRR},
volume = {abs/2309.15790},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2309.15790},
doi = {10.48550/ARXIV.2309.15790},
eprinttype = {arXiv},
eprint = {2309.15790},
timestamp = {Tue, 17 Oct 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2309-15790.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/talg/JosephMR22,
author = {Matthew Joseph and
Jieming Mao and
Aaron Roth},
title = {Exponential Separations in Local Privacy},
journal = {{ACM} Trans. Algorithms},
volume = {18},
number = {4},
pages = {32:1--32:17},
year = {2022},
url = {https://doi.org/10.1145/3459095},
doi = {10.1145/3459095},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/talg/JosephMR22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/iclr/CheuJMP22,
author = {Albert Cheu and
Matthew Joseph and
Jieming Mao and
Binghui Peng},
title = {Shuffle Private Stochastic Convex Optimization},
booktitle = {The Tenth International Conference on Learning Representations, {ICLR}
2022, Virtual Event, April 25-29, 2022},
publisher = {OpenReview.net},
year = {2022},
url = {https://openreview.net/forum?id=DrZXuTGg2A-},
timestamp = {Sat, 20 Aug 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/iclr/CheuJMP22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/GillenwaterJMD22,
author = {Jennifer Gillenwater and
Matthew Joseph and
Andres Mu{\~{n}}oz Medina and
M{\'{o}}nica Ribero Diaz},
editor = {Kamalika Chaudhuri and
Stefanie Jegelka and
Le Song and
Csaba Szepesv{\'{a}}ri and
Gang Niu and
Sivan Sabato},
title = {A Joint Exponential Mechanism For Differentially Private Top-k},
booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July
2022, Baltimore, Maryland, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {162},
pages = {7570--7582},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v162/gillenwater22a.html},
timestamp = {Tue, 12 Jul 2022 17:36:52 +0200},
biburl = {https://dblp.org/rec/conf/icml/GillenwaterJMD22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2201-11603,
author = {Kareem Amin and
Jennifer Gillenwater and
Matthew Joseph and
Alex Kulesza and
Sergei Vassilvitskii},
title = {Plume: Differential Privacy at Scale},
journal = {CoRR},
volume = {abs/2201.11603},
year = {2022},
url = {https://arxiv.org/abs/2201.11603},
eprinttype = {arXiv},
eprint = {2201.11603},
timestamp = {Mon, 22 Aug 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2201-11603.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2201-12333,
author = {Jennifer Gillenwater and
Matthew Joseph and
Andr{\'{e}}s {Mu{\~{n}}oz Medina} and
M{\'{o}}nica Ribero},
title = {A Joint Exponential Mechanism For Differentially Private Top-k},
journal = {CoRR},
volume = {abs/2201.12333},
year = {2022},
url = {https://arxiv.org/abs/2201.12333},
eprinttype = {arXiv},
eprint = {2201.12333},
timestamp = {Wed, 02 Feb 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2201-12333.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2208-07353,
author = {Kareem Amin and
Matthew Joseph and
M{\'{o}}nica Ribero and
Sergei Vassilvitskii},
title = {Easy Differentially Private Linear Regression},
journal = {CoRR},
volume = {abs/2208.07353},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2208.07353},
doi = {10.48550/ARXIV.2208.07353},
eprinttype = {arXiv},
eprint = {2208.07353},
timestamp = {Mon, 22 Aug 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2208-07353.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/GillenwaterJK21,
author = {Jennifer Gillenwater and
Matthew Joseph and
Alex Kulesza},
editor = {Marina Meila and
Tong Zhang},
title = {Differentially Private Quantiles},
booktitle = {Proceedings of the 38th International Conference on Machine Learning,
{ICML} 2021, 18-24 July 2021, Virtual Event},
series = {Proceedings of Machine Learning Research},
volume = {139},
pages = {3713--3722},
publisher = {{PMLR}},
year = {2021},
url = {http://proceedings.mlr.press/v139/gillenwater21a.html},
timestamp = {Wed, 25 Aug 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/GillenwaterJK21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/soda/BalcerCJM21,
author = {Victor Balcer and
Albert Cheu and
Matthew Joseph and
Jieming Mao},
editor = {D{\'{a}}niel Marx},
title = {Connecting Robust Shuffle Privacy and Pan-Privacy},
booktitle = {Proceedings of the 2021 {ACM-SIAM} Symposium on Discrete Algorithms,
{SODA} 2021, Virtual Conference, January 10 - 13, 2021},
pages = {2384--2403},
publisher = {{SIAM}},
year = {2021},
url = {https://doi.org/10.1137/1.9781611976465.142},
doi = {10.1137/1.9781611976465.142},
timestamp = {Thu, 15 Jul 2021 13:48:55 +0200},
biburl = {https://dblp.org/rec/conf/soda/BalcerCJM21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2102-08244,
author = {Jennifer Gillenwater and
Matthew Joseph and
Alex Kulesza},
title = {Differentially Private Quantiles},
journal = {CoRR},
volume = {abs/2102.08244},
year = {2021},
url = {https://arxiv.org/abs/2102.08244},
eprinttype = {arXiv},
eprint = {2102.08244},
timestamp = {Fri, 19 Feb 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2102-08244.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2106-09805,
author = {Albert Cheu and
Matthew Joseph and
Jieming Mao and
Binghui Peng},
title = {Shuffle Private Stochastic Convex Optimization},
journal = {CoRR},
volume = {abs/2106.09805},
year = {2021},
url = {https://arxiv.org/abs/2106.09805},
eprinttype = {arXiv},
eprint = {2106.09805},
timestamp = {Tue, 29 Jun 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2106-09805.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jpc/JosephRUW20,
author = {Matthew Joseph and
Aaron Roth and
Jonathan R. Ullman and
Bo Waggoner},
title = {Local Differential Privacy for Evolving Data},
journal = {J. Priv. Confidentiality},
volume = {10},
number = {1},
year = {2020},
url = {https://doi.org/10.29012/jpc.718},
doi = {10.29012/JPC.718},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jpc/JosephRUW20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/AminJM20,
author = {Kareem Amin and
Matthew Joseph and
Jieming Mao},
editor = {Jacob D. Abernethy and
Shivani Agarwal},
title = {Pan-Private Uniformity Testing},
booktitle = {Conference on Learning Theory, {COLT} 2020, 9-12 July 2020, Virtual
Event [Graz, Austria]},
series = {Proceedings of Machine Learning Research},
volume = {125},
pages = {183--218},
publisher = {{PMLR}},
year = {2020},
url = {http://proceedings.mlr.press/v125/amin20a.html},
timestamp = {Mon, 22 Aug 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/AminJM20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/soda/JosephM020,
author = {Matthew Joseph and
Jieming Mao and
Aaron Roth},
editor = {Shuchi Chawla},
title = {Exponential Separations in Local Differential Privacy},
booktitle = {Proceedings of the 2020 {ACM-SIAM} Symposium on Discrete Algorithms,
{SODA} 2020, Salt Lake City, UT, USA, January 5-8, 2020},
pages = {515--527},
publisher = {{SIAM}},
year = {2020},
url = {https://doi.org/10.1137/1.9781611975994.31},
doi = {10.1137/1.9781611975994.31},
timestamp = {Thu, 15 Jul 2021 13:48:53 +0200},
biburl = {https://dblp.org/rec/conf/soda/JosephM020.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2004-09481,
author = {Victor Balcer and
Albert Cheu and
Matthew Joseph and
Jieming Mao},
title = {Connecting Robust Shuffle Privacy and Pan-Privacy},
journal = {CoRR},
volume = {abs/2004.09481},
year = {2020},
url = {https://arxiv.org/abs/2004.09481},
eprinttype = {arXiv},
eprint = {2004.09481},
timestamp = {Wed, 22 Apr 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2004-09481.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/focs/JosephMN019,
author = {Matthew Joseph and
Jieming Mao and
Seth Neel and
Aaron Roth},
editor = {David Zuckerman},
title = {The Role of Interactivity in Local Differential Privacy},
booktitle = {60th {IEEE} Annual Symposium on Foundations of Computer Science, {FOCS}
2019, Baltimore, Maryland, USA, November 9-12, 2019},
pages = {94--105},
publisher = {{IEEE} Computer Society},
year = {2019},
url = {https://doi.org/10.1109/FOCS.2019.00015},
doi = {10.1109/FOCS.2019.00015},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/focs/JosephMN019.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/JosephKMW19,
author = {Matthew Joseph and
Janardhan Kulkarni and
Jieming Mao and
Zhiwei Steven Wu},
editor = {Hanna M. Wallach and
Hugo Larochelle and
Alina Beygelzimer and
Florence d'Alch{\'{e}}{-}Buc and
Emily B. Fox and
Roman Garnett},
title = {Locally Private Gaussian Estimation},
booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference
on Neural Information Processing Systems 2019, NeurIPS 2019, December
8-14, 2019, Vancouver, BC, Canada},
pages = {2980--2989},
year = {2019},
url = {https://proceedings.neurips.cc/paper/2019/hash/a588a6199feff5ba48402883d9b72700-Abstract.html},
timestamp = {Mon, 16 May 2022 15:41:51 +0200},
biburl = {https://dblp.org/rec/conf/nips/JosephKMW19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1904-03564,
author = {Matthew Joseph and
Jieming Mao and
Seth Neel and
Aaron Roth},
title = {The Role of Interactivity in Local Differential Privacy},
journal = {CoRR},
volume = {abs/1904.03564},
year = {2019},
url = {http://arxiv.org/abs/1904.03564},
eprinttype = {arXiv},
eprint = {1904.03564},
timestamp = {Tue, 08 Oct 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1904-03564.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1907-00813,
author = {Matthew Joseph and
Jieming Mao and
Aaron Roth},
title = {Exponential Separations in Local Differential Privacy Through Communication
Complexity},
journal = {CoRR},
volume = {abs/1907.00813},
year = {2019},
url = {http://arxiv.org/abs/1907.00813},
eprinttype = {arXiv},
eprint = {1907.00813},
timestamp = {Tue, 08 Oct 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1907-00813.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1911-01452,
author = {Kareem Amin and
Matthew Joseph and
Jieming Mao},
title = {Pan-Private Uniformity Testing},
journal = {CoRR},
volume = {abs/1911.01452},
year = {2019},
url = {http://arxiv.org/abs/1911.01452},
eprinttype = {arXiv},
eprint = {1911.01452},
timestamp = {Mon, 22 Aug 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1911-01452.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aies/JosephKMNR18,
author = {Matthew Joseph and
Michael J. Kearns and
Jamie Morgenstern and
Seth Neel and
Aaron Roth},
editor = {Jason Furman and
Gary E. Marchant and
Huw Price and
Francesca Rossi},
title = {Meritocratic Fairness for Infinite and Contextual Bandits},
booktitle = {Proceedings of the 2018 {AAAI/ACM} Conference on AI, Ethics, and Society,
{AIES} 2018, New Orleans, LA, USA, February 02-03, 2018},
pages = {158--163},
publisher = {{ACM}},
year = {2018},
url = {https://doi.org/10.1145/3278721.3278764},
doi = {10.1145/3278721.3278764},
timestamp = {Tue, 23 Jan 2024 13:25:45 +0100},
biburl = {https://dblp.org/rec/conf/aies/JosephKMNR18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/JosephRUW18,
author = {Matthew Joseph and
Aaron Roth and
Jonathan R. Ullman and
Bo Waggoner},
editor = {Samy Bengio and
Hanna M. Wallach and
Hugo Larochelle and
Kristen Grauman and
Nicol{\`{o}} Cesa{-}Bianchi and
Roman Garnett},
title = {Local Differential Privacy for Evolving Data},
booktitle = {Advances in Neural Information Processing Systems 31: Annual Conference
on Neural Information Processing Systems 2018, NeurIPS 2018, December
3-8, 2018, Montr{\'{e}}al, Canada},
pages = {2381--2390},
year = {2018},
url = {https://proceedings.neurips.cc/paper/2018/hash/a01610228fe998f515a72dd730294d87-Abstract.html},
timestamp = {Mon, 16 May 2022 15:41:51 +0200},
biburl = {https://dblp.org/rec/conf/nips/JosephRUW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1802-07128,
author = {Matthew Joseph and
Aaron Roth and
Jonathan R. Ullman and
Bo Waggoner},
title = {Local Differential Privacy for Evolving Data},
journal = {CoRR},
volume = {abs/1802.07128},
year = {2018},
url = {http://arxiv.org/abs/1802.07128},
eprinttype = {arXiv},
eprint = {1802.07128},
timestamp = {Tue, 27 Oct 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1802-07128.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1811-08382,
author = {Matthew Joseph and
Janardhan Kulkarni and
Jieming Mao and
Zhiwei Steven Wu},
title = {Locally Private Gaussian Estimation},
journal = {CoRR},
volume = {abs/1811.08382},
year = {2018},
url = {http://arxiv.org/abs/1811.08382},
eprinttype = {arXiv},
eprint = {1811.08382},
timestamp = {Mon, 26 Nov 2018 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1811-08382.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/JabbariJKMR17,
author = {Shahin Jabbari and
Matthew Joseph and
Michael J. Kearns and
Jamie Morgenstern and
Aaron Roth},
editor = {Doina Precup and
Yee Whye Teh},
title = {Fairness in Reinforcement Learning},
booktitle = {Proceedings of the 34th International Conference on Machine Learning,
{ICML} 2017, Sydney, NSW, Australia, 6-11 August 2017},
series = {Proceedings of Machine Learning Research},
volume = {70},
pages = {1617--1626},
publisher = {{PMLR}},
year = {2017},
url = {http://proceedings.mlr.press/v70/jabbari17a.html},
timestamp = {Tue, 08 Oct 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/JabbariJKMR17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/BerkHJJKMNR17,
author = {Richard Berk and
Hoda Heidari and
Shahin Jabbari and
Matthew Joseph and
Michael J. Kearns and
Jamie Morgenstern and
Seth Neel and
Aaron Roth},
title = {A Convex Framework for Fair Regression},
journal = {CoRR},
volume = {abs/1706.02409},
year = {2017},
url = {http://arxiv.org/abs/1706.02409},
eprinttype = {arXiv},
eprint = {1706.02409},
timestamp = {Tue, 08 Oct 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/BerkHJJKMNR17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/JosephKMR16,
author = {Matthew Joseph and
Michael J. Kearns and
Jamie Morgenstern and
Aaron Roth},
editor = {Daniel D. Lee and
Masashi Sugiyama and
Ulrike von Luxburg and
Isabelle Guyon and
Roman Garnett},
title = {Fairness in Learning: Classic and Contextual Bandits},
booktitle = {Advances in Neural Information Processing Systems 29: Annual Conference
on Neural Information Processing Systems 2016, December 5-10, 2016,
Barcelona, Spain},
pages = {325--333},
year = {2016},
url = {https://proceedings.neurips.cc/paper/2016/hash/eb163727917cbba1eea208541a643e74-Abstract.html},
timestamp = {Mon, 16 May 2022 15:41:51 +0200},
biburl = {https://dblp.org/rec/conf/nips/JosephKMR16.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/JosephKMR16,
author = {Matthew Joseph and
Michael J. Kearns and
Jamie Morgenstern and
Aaron Roth},
title = {Fairness in Learning: Classic and Contextual Bandits},
journal = {CoRR},
volume = {abs/1605.07139},
year = {2016},
url = {http://arxiv.org/abs/1605.07139},
eprinttype = {arXiv},
eprint = {1605.07139},
timestamp = {Tue, 08 Oct 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/JosephKMR16.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/JosephKMNR16,
author = {Matthew Joseph and
Michael J. Kearns and
Jamie Morgenstern and
Seth Neel and
Aaron Roth},
title = {Rawlsian Fairness for Machine Learning},
journal = {CoRR},
volume = {abs/1610.09559},
year = {2016},
url = {http://arxiv.org/abs/1610.09559},
eprinttype = {arXiv},
eprint = {1610.09559},
timestamp = {Tue, 08 Oct 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/JosephKMNR16.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/JabbariJKMR16,
author = {Shahin Jabbari and
Matthew Joseph and
Michael J. Kearns and
Jamie Morgenstern and
Aaron Roth},
title = {Fair Learning in Markovian Environments},
journal = {CoRR},
volume = {abs/1611.03071},
year = {2016},
url = {http://arxiv.org/abs/1611.03071},
eprinttype = {arXiv},
eprint = {1611.03071},
timestamp = {Tue, 08 Oct 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/JabbariJKMR16.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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