Evron, Itay

10 publications

NeurIPS 2025 Are Greedy Task Orderings Better than Random in Continual Linear Regression? Matan Tsipory, Ran Levinstein, Itay Evron, Mark Kong, Deanna Needell, Daniel Soudry

NeurIPS 2025 Optimal Rates in Continual Linear Regression via Increasing Regularization Ran Levinstein, Amit Attia, Matan Schliserman, Uri Sherman, Daniel Soudry, Tomer Koren, Itay Evron

NeurIPS 2024 Provable Tempered Overfitting of Minimal Nets and Typical Nets Itamar Harel, William M. Hoza, Gal Vardi, Itay Evron, Nathan Srebro, Daniel Soudry

ICMLW 2024 Provable Tempered Overfitting of Minimal Nets and Typical Nets Itamar Harel, William M. Hoza, Gal Vardi, Itay Evron, Nathan Srebro, Daniel Soudry

ICLR 2024 The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting — An Analytical Model Daniel Goldfarb, Itay Evron, Nir Weinberger, Daniel Soudry, PAul HAnd

ICML 2023 Continual Learning in Linear Classification on Separable Data Itay Evron, Edward Moroshko, Gon Buzaglo, Maroun Khriesh, Badea Marjieh, Nathan Srebro, Daniel Soudry

AISTATS 2023 The Role of Codeword-to-Class Assignments in Error-Correcting Codes: An Empirical Study Itay Evron, Ophir Onn, Tamar Weiss, Hai Azeroual, Daniel Soudry

COLT 2022 How Catastrophic Can Catastrophic Forgetting Be in Linear Regression? Itay Evron, Edward Moroshko, Rachel Ward, Nathan Srebro, Daniel Soudry

COLT 2019 How Do Infinite Width Bounded Norm Networks Look in Function Space? Pedro Savarese, Itay Evron, Daniel Soudry, Nathan Srebro

NeurIPS 2018 Efficient Loss-Based Decoding on Graphs for Extreme Classification Itay Evron, Edward Moroshko, Koby Crammer