Lydia Zakynthinou

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Jonathan UllmanAssociate Professor of Computer Science, Northeastern UniversityVerified email at ccs.neu.edu
Thomas SteinkeGoogle DeepMindVerified email at google.com
Huy L NguyễnNortheastern UniversityVerified email at cs.princeton.edu
Gavin BrownUniversity of WashingtonVerified email at cs.washington.edu
Adam SmithProfessor of Computer Science, Boston UniversityVerified email at bu.edu
Marco GaboardiBoston UniversityVerified email at bu.edu
Gautam KamathAssistant Professor @ University of Waterloo, Faculty Member @ Vector InstituteVerified email at uwaterloo.ca
Clément L. CanonneUniversity of SydneyVerified email at sydney.edu.au
Peter GrünwaldGroup Leader Machine Learning, CWI; Professor of Statistics, Leiden UniversityVerified email at cwi.nl
Hilal AsiApple ML ResearchVerified email at apple.com
Anamay ChaturvediPost doc, Institute of Science and Technology Austria (ISTA)Verified email at northeastern.edu
Dimitris FotakisProfessor, Electrical & Computer Eng., NTU AthensVerified email at cs.ntua.gr
Li-Yang TanStanford UniversityVerified email at cs.stanford.edu
Guy BlancStanford UniversityVerified email at stanford.edu

Lydia Zakynthinou

Postdoctoral Researcher, UC Berkeley

Verified email at northeastern.edu - Homepage

Learning Theory Algorithms Privacy


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Reasoning about generalization via conditional mutual information T Steinke, L Zakynthinou Conference on Learning Theory, 3437-3452, 2020	182	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	67	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	48	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	39	2021
Improved algorithms for collaborative PAC learning H Nguyen, L Zakynthinou Advances in Neural Information Processing Systems 31, 7631-7639, 2018	35	2018
From robustness to privacy and back H Asi, J Ullman, L Zakynthinou International Conference on Machine Learning, 1121-1146, 2023	30	2023
Efficient Private Algorithms for Learning Large-Margin Halfspaces HL Nguyen, J Ullman, L Zakynthinou Proceedings of Machine Learning Research 117, 2020	21*	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	20	2021
Online Facility Location in Evolving Metrics D Fotakis, L Kavouras, L Zakynthinou Algorithms 14 (3), 73, 2021	10	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	2	2023
Dimension-free Private Mean Estimation for Anisotropic Distributions Y Dagan, MI Jordan, X Yang, L Zakynthinou, N Zhivotovskiy arXiv preprint arXiv:2411.00775, 2024	1	2024
Algorithms and Frameworks for Preventing Privacy Leakage and Overfitting in Machine Learning L Zakynthinou Northeastern University, 2023		2023

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