Itay Evron
10 papers · 2018–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (16)
π
Century Club Β· Bronze
β
The Questioner
(2)
ποΈ
Keyword Collector
(54)
Top co-authors
Research topics
Machine Learning
(10)
Optimization & Theory Β· Machine Learning
(7)
Learning Types Β· Machine Learning
(6)
Artificial Intelligence
(4)
Deep Learning
(4)
Core Methods
(4)
Learning Paradigms
(3)
Optimization & Theory Β· Deep Learning
(3)
Architectures
(2)
Computer Science
(1)
Core AI
(1)
Foundations
(1)
Learning Types Β· Deep Learning
(1)
Keywords
continual learning
(6)
linear regression
(3)
catastrophic forgetting
(3)
neural network
(2)
multi-class classification
(1)
function approximation
(1)
binary classification
(1)
deep learning theory
(1)
stochastic gradient descent
(1)
function space
(1)
convergence analysis
(1)
linear classification
(1)
relu activation
(1)
l2 regularization
(1)
linear convergence
(1)
multi-label classification
(1)
benign overfitting
(1)
scaling law
(1)
least square
(1)
learning theory
(1)
Papers
Convergence of Continual Learning in Homogeneous Deep Networks
COLT 2026
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
NeurIPS 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
NeurIPS 2018