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Lydia Zakynthinou
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2020 – today
- 2024
- [i10]Yuval Dagan, Michael I. Jordan, Xuelin Yang, Lydia Zakynthinou, Nikita Zhivotovskiy:
Dimension-free Private Mean Estimation for Anisotropic Distributions. CoRR abs/2411.00775 (2024) - 2023
- [c10]Konstantina Bairaktari, Guy Blanc, Li-Yang Tan, Jonathan R. Ullman, Lydia Zakynthinou
:
Multitask Learning via Shared Features: Algorithms and Hardness. COLT 2023: 747-772 - [c9]Hilal Asi, Jonathan R. Ullman, Lydia Zakynthinou
From Robustness to Privacy and Back. ICML 2023: 1121-1146 - [i9]Hilal Asi, Jonathan R. Ullman, Lydia Zakynthinou:
From Robustness to Privacy and Back. CoRR abs/2302.01855 (2023) - 2022
- [i8]Konstantina Bairaktari, Guy Blanc, Li-Yang Tan, Jonathan R. Ullman, Lydia Zakynthinou:
Multitask Learning via Shared Features: Algorithms and Hardness. CoRR abs/2209.03112 (2022) - 2021
- [j1]Dimitris Fotakis
Online Facility Location in Evolving Metrics. Algorithms 14(3): 73 (2021) - [c8]Anamay Chaturvedi, Huy Le Nguyen, Lydia Zakynthinou:
Differentially Private Decomposable Submodular Maximization. AAAI 2021: 6984-6992 - [c7]Peter Grünwald, Thomas Steinke, Lydia Zakynthinou:
PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes. COLT 2021: 2217-2247 - [c6]Gavin Brown, Marco Gaboardi
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation. NeurIPS 2021: 7950-7964 - [i7]Peter Grünwald, Thomas Steinke, Lydia Zakynthinou:
PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes. CoRR abs/2106.09683 (2021) - [i6]Gavin Brown, Marco Gaboardi, Adam D. Smith, Jonathan R. Ullman, Lydia Zakynthinou:
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation. CoRR abs/2106.13329 (2021) - 2020
- [c5]Huy Le Nguyen, Jonathan R. Ullman, Lydia Zakynthinou:
Efficient Private Algorithms for Learning Large-Margin Halfspaces. ALT 2020: 704-724 - [c4]Thomas Steinke, Lydia Zakynthinou:
Reasoning About Generalization via Conditional Mutual Information. COLT 2020: 3437-3452 - [c3]Thomas Steinke, Lydia Zakynthinou:
Open Problem: Information Complexity of VC Learning. COLT 2020: 3857-3863 - [c2]Clément L. Canonne, Gautam Kamath, Audra McMillan, Jonathan R. Ullman, Lydia Zakynthinou:
Private Identity Testing for High-Dimensional Distributions. NeurIPS 2020 - [i5]Thomas Steinke, Lydia Zakynthinou
Reasoning About Generalization via Conditional Mutual Information. CoRR abs/2001.09122 (2020) - [i4]Anamay Chaturvedi, Huy L. Nguyen, Lydia Zakynthinou
Differentially Private Decomposable Submodular Maximization. CoRR abs/2005.14717 (2020)
2010 – 2019
- 2019
- [i3]Huy L. Nguyen, Jonathan R. Ullman, Lydia Zakynthinou
Efficient Private Algorithms for Learning Halfspaces. CoRR abs/1902.09009 (2019) - [i2]Clément L. Canonne, Gautam Kamath, Audra McMillan, Jonathan R. Ullman, Lydia Zakynthinou
Private Identity Testing for High-Dimensional Distributions. CoRR abs/1905.11947 (2019) - 2018
- [c1]Huy L. Nguyen, Lydia Zakynthinou:
Improved Algorithms for Collaborative PAC Learning. NeurIPS 2018: 7642-7650 - [i1]Huy L. Nguyen, Lydia Zakynthinou
Improved Algorithms for Collaborative PAC Learning. CoRR abs/1805.08356 (2018)
Coauthor Index
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last updated on 2024-12-12 22:01 CET by the dblp team
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