BibTeX records: Om Thakkar 0001

download as .bib file

@inproceedings{DBLP:conf/aistats/00020SS0W20,
  author    = {Ryan Rogers and
               Aaron Roth and
               Adam D. Smith and
               Nathan Srebro and
               Om Thakkar and
               Blake E. Woodworth},
  editor    = {Silvia Chiappa and
               Roberto Calandra},
  title     = {Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis},
  booktitle = {The 23rd International Conference on Artificial Intelligence and Statistics,
               {AISTATS} 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy]},
  series    = {Proceedings of Machine Learning Research},
  volume    = {108},
  pages     = {2830--2840},
  publisher = {{PMLR}},
  year      = {2020},
  url       = {http://proceedings.mlr.press/v108/rogers20a.html},
  timestamp = {Mon, 29 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/conf/aistats/00020SS0W20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2006-06783,
  author    = {Shuang Song and
               Om Thakkar and
               Abhradeep Thakurta},
  title     = {Characterizing Private Clipped Gradient Descent on Convex Generalized
               Linear Problems},
  journal   = {CoRR},
  volume    = {abs/2006.06783},
  year      = {2020},
  url       = {https://arxiv.org/abs/2006.06783},
  archivePrefix = {arXiv},
  eprint    = {2006.06783},
  timestamp = {Wed, 17 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-2006-06783.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2006-07490,
  author    = {Om Thakkar and
               Swaroop Ramaswamy and
               Rajiv Mathews and
               Fran{\c{c}}oise Beaufays},
  title     = {Understanding Unintended Memorization in Federated Learning},
  journal   = {CoRR},
  volume    = {abs/2006.07490},
  year      = {2020},
  url       = {https://arxiv.org/abs/2006.07490},
  archivePrefix = {arXiv},
  eprint    = {2006.07490},
  timestamp = {Wed, 17 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-2006-07490.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/sp/IyengarNSTTW19,
  author    = {Roger Iyengar and
               Joseph P. Near and
               Dawn Song and
               Om Thakkar and
               Abhradeep Thakurta and
               Lun Wang},
  title     = {Towards Practical Differentially Private Convex Optimization},
  booktitle = {2019 {IEEE} Symposium on Security and Privacy, {SP} 2019, San Francisco,
               CA, USA, May 19-23, 2019},
  pages     = {299--316},
  publisher = {{IEEE}},
  year      = {2019},
  url       = {https://doi.org/10.1109/SP.2019.00001},
  doi       = {10.1109/SP.2019.00001},
  timestamp = {Tue, 04 Feb 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/conf/sp/IyengarNSTTW19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1905-03871,
  author    = {Om Thakkar and
               Galen Andrew and
               H. Brendan McMahan},
  title     = {Differentially Private Learning with Adaptive Clipping},
  journal   = {CoRR},
  volume    = {abs/1905.03871},
  year      = {2019},
  url       = {http://arxiv.org/abs/1905.03871},
  archivePrefix = {arXiv},
  eprint    = {1905.03871},
  timestamp = {Tue, 04 Feb 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1905-03871.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1906-09231,
  author    = {Ryan Rogers and
               Aaron Roth and
               Adam D. Smith and
               Nathan Srebro and
               Om Thakkar and
               Blake E. Woodworth},
  title     = {Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis},
  journal   = {CoRR},
  volume    = {abs/1906.09231},
  year      = {2019},
  url       = {http://arxiv.org/abs/1906.09231},
  archivePrefix = {arXiv},
  eprint    = {1906.09231},
  timestamp = {Tue, 04 Feb 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1906-09231.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/0002TT18,
  author    = {Prateek Jain and
               Om Dipakbhai Thakkar and
               Abhradeep Thakurta},
  editor    = {Jennifer G. Dy and
               Andreas Krause},
  title     = {Differentially Private Matrix Completion Revisited},
  booktitle = {Proceedings of the 35th International Conference on Machine Learning,
               {ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
               10-15, 2018},
  series    = {Proceedings of Machine Learning Research},
  volume    = {80},
  pages     = {2220--2229},
  publisher = {{PMLR}},
  year      = {2018},
  url       = {http://proceedings.mlr.press/v80/jain18b.html},
  timestamp = {Tue, 04 Feb 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/conf/icml/0002TT18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/BassilyTT18,
  author    = {Raef Bassily and
               Abhradeep Guha Thakurta and
               Om Dipakbhai Thakkar},
  editor    = {Samy Bengio and
               Hanna M. Wallach and
               Hugo Larochelle and
               Kristen Grauman and
               Nicol{\`{o}} Cesa{-}Bianchi and
               Roman Garnett},
  title     = {Model-Agnostic Private Learning},
  booktitle = {Advances in Neural Information Processing Systems 31: Annual Conference
               on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December
               2018, Montr{\'{e}}al, Canada},
  pages     = {7102--7112},
  year      = {2018},
  url       = {http://papers.nips.cc/paper/7941-model-agnostic-private-learning},
  timestamp = {Fri, 06 Mar 2020 17:00:31 +0100},
  biburl    = {https://dblp.org/rec/conf/nips/BassilyTT18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1803-05101,
  author    = {Raef Bassily and
               Om Thakkar and
               Abhradeep Thakurta},
  title     = {Model-Agnostic Private Learning via Stability},
  journal   = {CoRR},
  volume    = {abs/1803.05101},
  year      = {2018},
  url       = {http://arxiv.org/abs/1803.05101},
  archivePrefix = {arXiv},
  eprint    = {1803.05101},
  timestamp = {Tue, 04 Feb 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1803-05101.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1712-09765,
  author    = {Prateek Jain and
               Om Thakkar and
               Abhradeep Thakurta},
  title     = {Differentially Private Matrix Completion, Revisited},
  journal   = {CoRR},
  volume    = {abs/1712.09765},
  year      = {2017},
  url       = {http://arxiv.org/abs/1712.09765},
  archivePrefix = {arXiv},
  eprint    = {1712.09765},
  timestamp = {Tue, 04 Feb 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1712-09765.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/focs/RogersRST16,
  author    = {Ryan M. Rogers and
               Aaron Roth and
               Adam D. Smith and
               Om Thakkar},
  editor    = {Irit Dinur},
  title     = {Max-Information, Differential Privacy, and Post-selection Hypothesis
               Testing},
  booktitle = {{IEEE} 57th Annual Symposium on Foundations of Computer Science, {FOCS}
               2016, 9-11 October 2016, Hyatt Regency, New Brunswick, New Jersey,
               {USA}},
  pages     = {487--494},
  publisher = {{IEEE} Computer Society},
  year      = {2016},
  url       = {https://doi.org/10.1109/FOCS.2016.59},
  doi       = {10.1109/FOCS.2016.59},
  timestamp = {Tue, 04 Feb 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/conf/focs/RogersRST16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/RogersRST16,
  author    = {Ryan M. Rogers and
               Aaron Roth and
               Adam D. Smith and
               Om Thakkar},
  title     = {Max-Information, Differential Privacy, and Post-Selection Hypothesis
               Testing},
  journal   = {CoRR},
  volume    = {abs/1604.03924},
  year      = {2016},
  url       = {http://arxiv.org/abs/1604.03924},
  archivePrefix = {arXiv},
  eprint    = {1604.03924},
  timestamp = {Tue, 04 Feb 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/corr/RogersRST16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/MehtaMPTV15,
  author    = {Punit Mehta and
               Rahul Muthu and
               Gaurav Patel and
               Om Thakkar and
               Devanshi Vyas},
  title     = {Improved Upper Bounds on {\textdollar}a'(G{\textbackslash}Box H){\textdollar}},
  journal   = {CoRR},
  volume    = {abs/1507.01818},
  year      = {2015},
  url       = {http://arxiv.org/abs/1507.01818},
  archivePrefix = {arXiv},
  eprint    = {1507.01818},
  timestamp = {Tue, 04 Feb 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/corr/MehtaMPTV15.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
a service of Schloss Dagstuhl - Leibniz Center for Informatics