Guy Kornowski

According to our database1, Guy Kornowski authored at least 13 papers between 2020 and 2024.

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Bibliography

2024
An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization.
J. Mach. Learn. Res., 2024

Improved Sample Complexity for Private Nonsmooth Nonconvex Optimization.
CoRR, 2024

Differentially Private Bilevel Optimization.
CoRR, 2024

On the Hardness of Meaningful Local Guarantees in Nonsmooth Nonconvex Optimization.
CoRR, 2024

First-Order Methods for Linearly Constrained Bilevel Optimization.
CoRR, 2024

Open Problem: Anytime Convergence Rate of Gradient Descent.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

Efficient Agnostic Learning with Average Smoothness.
Proceedings of the International Conference on Algorithmic Learning Theory, 2024

2023
From Tempered to Benign Overfitting in ReLU Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Near-optimal learning with average Hölder smoothness.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Deterministic Nonsmooth Nonconvex Optimization.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022
Oracle Complexity in Nonsmooth Nonconvex Optimization.
J. Mach. Learn. Res., 2022

On the Complexity of Finding Small Subgradients in Nonsmooth Optimization.
CoRR, 2022

2020
High-Order Oracle Complexity of Smooth and Strongly Convex Optimization.
CoRR, 2020


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