Itay Evron

According to our database1, Itay Evron authored at least 13 papers between 2018 and 2026.

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Bibliography

2026
A Graph Meta-Network for Learning on Kolmogorov-Arnold Networks.
CoRR, February, 2026

Optimal L2 Regularization in High-dimensional Continual Linear Regression.
CoRR, January, 2026

2025
Are Greedy Task Orderings Better Than Random in Continual Linear Regression?
CoRR, October, 2025

Optimal Rates in Continual Linear Regression via Increasing Regularization.
CoRR, June, 2025

Better Rates for Random Task Orderings in Continual Linear Models.
CoRR, April, 2025

2024
Provable Tempered Overfitting of Minimal Nets and Typical Nets.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting - An Analytical Model.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Continual Learning in Linear Classification on Separable Data.
Proceedings of the International Conference on Machine Learning, 2023

The Role of Codeword-to-Class Assignments in Error-Correcting Codes: An Empirical Study.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
How catastrophic can catastrophic forgetting be in linear regression?
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2019
Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks.
CoRR, 2019

How do infinite width bounded norm networks look in function space?
Proceedings of the Conference on Learning Theory, 2019

2018
Efficient Loss-Based Decoding on Graphs for Extreme Classification.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018


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