Itay Safran
9 papers · 2016–2025 · 3 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) 🏃 Academic Marathon (9)
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The Questioner
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Unstoppable
(7)
Conferences
COLT (4)
ICML (3)
NIPS (2)
Top co-authors
Keywords
depth separation
(2)
relu network
(2)
stochastic gradient descent
(2)
finite-sum optimization
(1)
function approximation
(1)
convergence analysis
(1)
convex optimization
(1)
overspecified networks
(1)
initialization
(1)
loss landscape
(1)
gradient descent
(1)
strongly convex
(1)
optimization theory
(1)
condition number
(1)
convergence guarantee
(1)
generalization bound
(1)
convergence rate
(1)
gradient flow
(1)
lower bound
(1)
neural network optimization
(1)
Papers
Depth Separations in Neural Networks: Separating the Dimension from the Accuracy
COLT 2025
Optimization-Based Separations for Neural Networks
COLT 2022
On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias
NIPS 2022
Random Shuffling Beats SGD Only After Many Epochs on Ill-Conditioned Problems
NIPS 2021
How Good is SGD with Random Shuffling?
COLT 2020
Depth Separations in Neural Networks: What is Actually Being Separated?
COLT 2019
Spurious Local Minima are Common in Two-Layer ReLU Neural Networks
ICML 2018
Depth-Width Tradeoffs in Approximating Natural Functions with Neural Networks
ICML 2017
On the Quality of the Initial Basin in Overspecified Neural Networks
ICML 2016