Better Rates for Random Task Orderings in Continual Linear Models
Evron*, Levinstein*, Schliserman*, Sherman*, Koren, Soudry, and Srebro. Preprint 2025.

Provable Tempered Overfitting of Minimal Nets and Typical Nets
Harel, Hoza, Vardi, Evron, Srebro, and Soudry. NeurIPS 2024.

• Workshop version (HiLD @ ICML 2024)

The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting – An Analytical Model
Goldfarb*, Evron*, Weinberger, Soudry, and Hand. ICLR 2024.

• Poster | 4 min video

Continual Learning in Linear Classification on Separable Data
Evron, Moroshko, Buzaglo, Khriesh, Marjieh, Srebro, and Soudry. ICML 2023.

• 5 min video

The Role of Codeword-to-Class Assignments in Error Correcting Codes: An Empirical Study
Evron*, Onn*, Weiss, Azeroual, and Soudry. AISTATS 2023.

• Github project

How catastrophic can catastrophic forgetting be in linear regression?
Evron, Moroshko, Ward, Srebro, and Soudry. COLT 2022.

• 15 min video (English) | 1 h talk at the Hebrew University (Hebrew)

How do infinite width bounded norm networks look in function space?
Savarese, Evron, Soudry, and Srebro. COLT 2019.

Towards Learning of Filter Level Heterogeneous Compression of Convolutional Neural Networks
Zur, Baskin, Zheltonozhskii, Chmiel, Evron,  Bronstein, and Mendelson.
Automated Machine Learning Workshop at ICML 2019.

Efficient Loss Based Decoding on Graphs for Extreme Classification
Evron , Moroshko, and Crammer. NeurIPS 2018.

• Github project

Introduction to Machine Learning

Project advisor in Machine Learning

Numerical Algorithms

Project advisor in Artificial Intelligence

Introduction to Artificial Intelligence

Algorithms 1

Introduction to Computer Science