Itay Evron - RankMe

20 papers A* 6A 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Graph Meta-Network for Learning on Kolmogorov-Arnold Networks. CoRR Guy Bar-Shalom, Ami Tavory, Itay Evron, Maya Bechler-Speicher, Ido Guy, Haggai Maron
2026	J	`jnl`	Optimal L2 Regularization in High-dimensional Continual Linear Regression. CoRR Gilad Karpel, Edward Moroshko, Ran Levinstein, Ron Meir, Daniel Soudry, Itay Evron
2025	J	`jnl`	Are Greedy Task Orderings Better Than Random in Continual Linear Regression? CoRR Matan Tsipory, Ran Levinstein, Itay Evron, Mark Kong, Deanna Needell, Daniel Soudry
2025	J	`jnl`	Better Rates for Random Task Orderings in Continual Linear Models. CoRR Itay Evron, Ran Levinstein, Matan Schliserman, Uri Sherman, Tomer Koren, Daniel Soudry, Nathan Srebro
2025	J	`jnl`	Optimal Rates in Continual Linear Regression via Increasing Regularization. CoRR Ran Levinstein, Amit Attia, Matan Schliserman, Uri Sherman, Tomer Koren, Daniel Soudry, Itay Evron
2024	A*	`conf`	Provable Tempered Overfitting of Minimal Nets and Typical Nets. NeurIPS Itamar Harel, William Hoza, Gal Vardi, Itay Evron, Nati Srebro, Daniel Soudry
2024	J	`jnl`	Provable Tempered Overfitting of Minimal Nets and Typical Nets. CoRR Itamar Harel, William M. Hoza, Gal Vardi, Itay Evron, Nathan Srebro, Daniel Soudry
2024	A*	`conf`	The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting - An Analytical Model. ICLR Daniel Goldfarb, Itay Evron, Nir Weinberger, Daniel Soudry, Paul Hand
2024	J	`jnl`	The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting - An Analytical Model. CoRR Daniel Goldfarb, Itay Evron, Nir Weinberger, Daniel Soudry, Paul Hand
2023	A*	`conf`	Continual Learning in Linear Classification on Separable Data. ICML Itay Evron, Edward Moroshko, Gon Buzaglo, Maroun Khriesh, Badea Marjieh, Nathan Srebro, Daniel Soudry
2023	J	`jnl`	Continual Learning in Linear Classification on Separable Data. CoRR Itay Evron, Edward Moroshko, Gon Buzaglo, Maroun Khriesh, Badea Marjieh, Nathan Srebro, Daniel Soudry
2023	A	`conf`	The Role of Codeword-to-Class Assignments in Error-Correcting Codes: An Empirical Study. AISTATS Itay Evron, Ophir Onn, Tamar Weiss Orzech, Hai Azeroual, Daniel Soudry
2023	J	`jnl`	The Role of Codeword-to-Class Assignments in Error-Correcting Codes: An Empirical Study. CoRR Itay Evron, Ophir Onn, Tamar Weiss Orzech, Hai Azeroual, Daniel Soudry
2022	A*	`conf`	How catastrophic can catastrophic forgetting be in linear regression? COLT Itay Evron, Edward Moroshko, Rachel A. Ward, Nathan Srebro, Daniel Soudry
2022	J	`jnl`	How catastrophic can catastrophic forgetting be in linear regression? CoRR Itay Evron, Edward Moroshko, Rachel A. Ward, Nati Srebro, Daniel Soudry
2019	A*	`conf`	How do infinite width bounded norm networks look in function space? COLT Pedro Savarese, Itay Evron, Daniel Soudry, Nathan Srebro
2019	J	`jnl`	How do infinite width bounded norm networks look in function space? CoRR Pedro Savarese, Itay Evron, Daniel Soudry, Nathan Srebro
2019	J	`jnl`	Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks. CoRR Yochai Zur, Chaim Baskin, Evgenii Zheltonozhskii, Brian Chmiel, Itay Evron, Alexander M. Bronstein, Avi Mendelson
2018	J	`jnl`	Efficient Loss-Based Decoding On Graphs For Extreme Classification. CoRR Itay Evron, Edward Moroshko, Koby Crammer
2018	A*	`conf`	Efficient Loss-Based Decoding on Graphs for Extreme Classification. NeurIPS Itay Evron, Edward Moroshko, Koby Crammer