Skip to content
cs-conference-ranking.org

Itay Safran

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

11

Venues

3

Active years

2016–2026

Best venue rank

A*

Where they publish

Papers

11 indexed papers, newest first.

YearVenueTitleAuthors
2026COLTThe Median is Easier than it Looks: Approximation with a Constant-Depth, Linear-Width ReLU Network.Abhigyan Dutta, Itay Safran, Paul Valiant
2026COLTA Depth Hierarchy for Computing the Maximum in ReLU Networks via Extremal Graph Theory.Itay Safran
2025COLTDepth Separations in Neural Networks: Separating the Dimension from the Accuracy.Itay Safran, Daniel Reichman, Paul Valiant
2024SODAHow Many Neurons Does it Take to Approximate the Maximum?Itay Safran, Daniel Reichman, Paul Valiant
2022COLTOptimization-Based Separations for Neural Networks.Itay Safran, Jason D. Lee
2021COLTThe Effects of Mild Over-parameterization on the Optimization Landscape of Shallow ReLU Neural Networks.Itay Safran, Gilad Yehudai, Ohad Shamir
2020COLTHow Good is SGD with Random Shuffling?Itay Safran, Ohad Shamir
2019COLTDepth Separations in Neural Networks: What is Actually Being Separated?Itay Safran, Ronen Eldan, Ohad Shamir
2018ICMLSpurious Local Minima are Common in Two-Layer ReLU Neural Networks.Itay Safran, Ohad Shamir
2017ICMLDepth-Width Tradeoffs in Approximating Natural Functions with Neural Networks.Itay Safran, Ohad Shamir
2016ICMLOn the Quality of the Initial Basin in Overspecified Neural Networks.Itay Safran, Ohad Shamir