Lydia Zakynthinou

Orcid: 0000-0001-9258-6798

According to our database1, Lydia Zakynthinou authored at least 12 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2023
From Robustness to Privacy and Back.
Proceedings of the International Conference on Machine Learning, 2023

Multitask Learning via Shared Features: Algorithms and Hardness.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2021
Online Facility Location in Evolving Metrics.
Algorithms, 2021

Covariance-Aware Private Mean Estimation Without Private Covariance Estimation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes.
Proceedings of the Conference on Learning Theory, 2021

Differentially Private Decomposable Submodular Maximization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Private Identity Testing for High-Dimensional Distributions.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Open Problem: Information Complexity of VC Learning.
Proceedings of the Conference on Learning Theory, 2020

Reasoning About Generalization via Conditional Mutual Information.
Proceedings of the Conference on Learning Theory, 2020

Efficient Private Algorithms for Learning Large-Margin Halfspaces.
Proceedings of the Algorithmic Learning Theory, 2020

2019
Efficient Private Algorithms for Learning Halfspaces.
CoRR, 2019

2018
Improved Algorithms for Collaborative PAC Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018


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