Guy Kornowski

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Ohad ShamirWeizmann Institute of ScienceVerified email at weizmann.ac.il
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Tianyi LinColumbia UniversityVerified email at columbia.edu
Manolis ZampetakisYale UniversityVerified email at yale.edu
Gilad YehudaiPostdoctoral Associate, New York UniversityVerified email at weizmann.ac.il
Aryeh KontorovichProfessor of Computer Science at Ben-Gurion UniversityVerified email at cs.bgu.ac.il
Steve HannekePurdue UniversityVerified email at ttic.edu
Swati PadmanabhanMassachussetts Institute of TechnologyVerified email at mit.edu
Suvrit SraTUM and MITVerified email at mit.edu
Kai WangGeorgia Institute of TechnologyVerified email at gatech.edu
Zhe (Jimmy) ZhangIE, Purdue UniversityVerified email at purdue.edu
Kunal TalwarApple IncVerified email at apple.com
Daogao LiuUniversity of WashingtonVerified email at uw.edu
Daniel BarzilaiWeizmann Institute of ScienceVerified email at weizmann.ac.il

Guy Kornowski

PhD student, Weizmann Institute of Science

Verified email at weizmann.ac.il - Homepage

Machine Learning Optimization


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Oracle Complexity in Nonsmooth Nonconvex Optimization G Kornowski, O Shamir Journal of Machine Learning Research 23 (314), 1-44, 2022	49	2022
Deterministic nonsmooth nonconvex optimization M Jordan, G Kornowski, T Lin, O Shamir, M Zampetakis The Thirty Sixth Annual Conference on Learning Theory, 4570-4597, 2023	34	2023
From tempered to benign overfitting in relu neural networks G Kornowski, G Yehudai, O Shamir Advances in Neural Information Processing Systems 36, 58011-58046, 2023	26	2023
An algorithm with optimal dimension-dependence for zero-order nonsmooth nonconvex stochastic optimization G Kornowski, O Shamir Journal of Machine Learning Research 25 (122), 1-14, 2024	21	2024
On the Complexity of Finding Small Subgradients in Nonsmooth Optimization G Kornowski, O Shamir OPT 2022: Optimization for Machine Learning (NeurIPS 2022 Workshop), 2022	14	2022
High-order oracle complexity of smooth and strongly convex optimization G Kornowski, O Shamir arXiv preprint arXiv:2010.06642, 2020	13	2020
First-Order Methods for Linearly Constrained Bilevel Optimization G Kornowski, S Padmanabhan, K Wang, Z Zhang, S Sra arXiv preprint arXiv:2406.12771, 2024	4	2024
Open Problem: Anytime Convergence Rate of Gradient Descent G Kornowski, O Shamir The Thirty Seventh Conference on Learning Theory, 5335-5339, 2024	3	2024
Near-optimal learning with average Hölder smoothness G Kornowski, S Hanneke, A Kontorovich Advances in Neural Information Processing Systems 36, 21135-21157, 2023	3	2023
On the Hardness of Meaningful Local Guarantees in Nonsmooth Nonconvex Optimization G Kornowski, S Padmanabhan, O Shamir arXiv preprint arXiv:2409.10323, 2024	2	2024
Overfitting Regimes of Nadaraya-Watson Interpolators D Barzilai, G Kornowski, O Shamir arXiv preprint arXiv:2502.07480, 2025		2025
The Oracle Complexity of Simplex-based Matrix Games: Linear Separability and Nash Equilibria G Kornowski, O Shamir arXiv preprint arXiv:2412.06990, 2024		2024
Improved Sample Complexity for Private Nonsmooth Nonconvex Optimization G Kornowski, D Liu, K Talwar arXiv preprint arXiv:2410.05880, 2024		2024
Differentially Private Bilevel Optimization G Kornowski arXiv preprint arXiv:2409.19800, 2024		2024
Efficient Agnostic Learning with Average Smoothness S Hanneke, A Kontorovich, G Kornowski International Conference on Algorithmic Learning Theory, 719-731, 2024		2024

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