Publications
With: Alon Brutzkus, Amir Globerson, Alon Regev Netzer, Shai Shalev-Shwartz
ICML 2022
With: Shai Shalev-Shwartz
JMLR 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: Shai Shalev-Shwartz
ICLR 2021
With: Amit Daniely
NeurIPS 2020 (Oral presentation)
With: Shai Shalev-Shwartz
NeurIPS 2020
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
With: Shai Shalev-Shwartz
NIPS 2017
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