Lydia Zakynthinou 个人学术档案

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引用	398	397
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Jonathan UllmanAssociate Professor of Computer Science, Northeastern University在 ccs.neu.edu 的电子邮件经过验证
Thomas SteinkeGoogle DeepMind在 google.com 的电子邮件经过验证
Huy L NguyễnNortheastern University在 cs.princeton.edu 的电子邮件经过验证
Gavin BrownUniversity of Washington在 cs.washington.edu 的电子邮件经过验证
Adam SmithProfessor of Computer Science, Boston University在 bu.edu 的电子邮件经过验证
Marco GaboardiBoston University在 bu.edu 的电子邮件经过验证
Gautam KamathAssistant Professor @ University of Waterloo, Faculty Member @ Vector Institute在 uwaterloo.ca 的电子邮件经过验证
Clément L. CanonneUniversity of Sydney在 sydney.edu.au 的电子邮件经过验证
Peter GrünwaldGroup Leader Machine Learning, CWI; Professor of Statistics, Leiden University在 cwi.nl 的电子邮件经过验证
Hilal AsiApple ML Research在 apple.com 的电子邮件经过验证
Anamay ChaturvediPost doc, Institute of Science and Technology Austria (ISTA)在 northeastern.edu 的电子邮件经过验证
Dimitris FotakisProfessor, Electrical & Computer Eng., NTU Athens在 cs.ntua.gr 的电子邮件经过验证
Li-Yang TanStanford University在 cs.stanford.edu 的电子邮件经过验证
Guy BlancStanford University在 stanford.edu 的电子邮件经过验证

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Lydia Zakynthinou

Postdoctoral Researcher, UC Berkeley

在 northeastern.edu 的电子邮件经过验证 - 首页

Learning Theory Algorithms Privacy


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Reasoning about generalization via conditional mutual information T Steinke, L Zakynthinou Conference on Learning Theory, 3437-3452, 2020	165	2020
Covariance-aware private mean estimation without private covariance estimation G Brown, M Gaboardi, A Smith, J Ullman, L Zakynthinou Advances in Neural Information Processing Systems 34, 7950-7964, 2021	53	2021
Private identity testing for high-dimensional distributions CL Canonne, G Kamath, A McMillan, J Ullman, L Zakynthinou Advances in Neural Information Processing Systems 33, 10099-10111, 2020	41	2020
PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes P Grunwald, T Steinke, L Zakynthinou Conference on Learning Theory, 2217-2247, 2021	34	2021
Improved algorithms for collaborative PAC learning H Nguyen, L Zakynthinou Advances in Neural Information Processing Systems 31, 7631-7639, 2018	31	2018
From robustness to privacy and back H Asi, J Ullman, L Zakynthinou International Conference on Machine Learning, 1121-1146, 2023	20	2023
Efficient Private Algorithms for Learning Large-Margin Halfspaces HL Nguyen, J Ullman, L Zakynthinou Proceedings of Machine Learning Research 117, 2020	19*	2020
Differentially private decomposable submodular maximization A Chaturvedi, H Lê Nguyễn, L Zakynthinou Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 6984-6992, 2021	18	2021
Online Facility Location in Evolving Metrics D Fotakis, L Kavouras, L Zakynthinou Algorithms 14 (3), 73, 2021	8	2021
Open Problem: Information Complexity of VC Learning T Steinke, L Zakynthinou Conference on Learning Theory, 3857-3863, 2020	8	2020
Multitask Learning via Shared Features: Algorithms and Hardness K Bairaktari, G Blanc, LY Tan, J Ullman, L Zakynthinou The Thirty Sixth Annual Conference on Learning Theory, 747-772, 2023	1	2023
Algorithms and Frameworks for Preventing Privacy Leakage and Overfitting in Machine Learning L Zakynthinou Northeastern University, 2023		2023

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