Itay Evron
9 papers · 2018–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Academic Marathon (6)
π
Cross-Pollinator
(13)
πΊοΈ
Taxonomy Completionist
(13)
β
The Questioner
(2)
Conferences
ALT (2)
COLT (2)
NIPS (2)
AISTATS (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
continual learning
(4)
neural network
(2)
linear regression
(2)
catastrophic forgetting
(2)
l2 regularization
(1)
function approximation
(1)
binary classification
(1)
multiclass classification
(1)
stochastic gradient descent
(1)
linear classification
(1)
deep learning theory
(1)
scaling law
(1)
error correcting output code
(1)
relu activation
(1)
benign overfitting
(1)
multi-label classification
(1)
least square
(1)
binary weight
(1)
generalization performance
(1)
learning theory
(1)
Papers
From Continual Learning to SGD and Back: Better Rates for Continual Linear Models
ALT 2026
Optimal L2 Regularization in High-dimensional Continual Linear Regression
ALT 2026
Provable Tempered Overfitting of Minimal Nets and Typical Nets
NIPS 2024
The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting β An Analytical Model
ICLR 2024
Continual Learning in Linear Classification on Separable Data
ICML 2023
The Role of Codeword-to-Class Assignments in Error-Correcting Codes: An Empirical Study
AISTATS 2023
How catastrophic can catastrophic forgetting be in linear regression?
COLT 2022
How do infinite width bounded norm networks look in function space?
COLT 2019
Efficient Loss-Based Decoding on Graphs for Extreme Classification
NIPS 2018