Publications

With: Alon Brutzkus, Amir Globerson, Alon Regev Netzer, Shai Shalev-Shwartz

ICML 2022

With: Emmanuel Abbe, Pritish Kamath, Colin Sandon, Nathan Srebro

NeurIPS 2021 (Spotlight)

With: Pritish Kamath, Emmanuel Abbe, Nathan Srebro

ICML 2021 (Spotlight)

With: Gilad Yehudai, Shai Shalev-Shwartz, Ohad Shamir

COLT 2021

With: Amit Daniely

NeurIPS 2020 (Oral presentation)

With: Gilad Yehudai, Shai Shalev-Shwartz, Ohad Shamir

ICML 2020

With: Alon Brutzkus, Amit Daniely

COLT 2020

With: Shai Shalev-Shwartz

NeurIPS 2019

With: Alon Brutzkus, Amir Globerson, Shai Shalev-Shwartz

ICLR 2018

Preprints

Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit

With: Boaz Barak, Benjamin L. Edelman, Surbhi Goel, Sham Kakade, Cyril Zhang


Knowledge Distillation: Bad Models Can Be Good Role Models

With: Gal Kaplun, Preetum Nakkiran, Shai Shalev-Shwartz


On the Optimality of Trees Generated by ID3

With: Alon Brutzkus, Amit Daniely


Decoupling Gating from Linearity

With: Jonathan Fiat, Shai Shalev-Shwratz


A Provably Correct Algorithm for Deep Learning that Actually Works

With: Shai Shalev-Shwratz