Amit Daniely

I Completed my Ph.D. at the Hebrew University of Jerusalem in 2015. I then joined Google MTV as a research scientists. In 2017, I moved back to Israel. Now I am assistant professor at he Hebrew University of Jerusalem, and working (part time) as research scientist in Google TLV.

Research Areas

Authored Publications
0 results

Sort By
  • Title
  • Title, descending
  • Year
  • Year, descending
    Google
Multiclass Boosting: Simple and Intuitive Weak Learning Criteria
Nataly Brukhim
Amit Daniely
Yishay Mansour
Shay Moran
NeurIPS 2023
Monotone Learning
Olivier Bousquet
Amit Daniely
Haim Kaplan
Yishay Mansour
Shay Moran
Uri Stemmer
COLT 2022
Stochastic Optimization with Arbitrary Delays
Alon Cohen
Amit Daniely
Mariano Schain
Tomer Koren
Yoel Drori
NeurIPS (2021)
Learning with Rules
Deborah Cohen
Amit Daniely
Amir Globerson
Gal Elidan
ICML (2019)
Random Features for Compositional Kernels
Amit Daniely
Roy Frostig
Vineet Gupta
Yoram Singer
arXiv (2017)
Short and Deep: Sketching and Neural Networks
Amit Daniely
Nevena Lazic
Yoram Singer
Kunal Talwar
ICLR Workshop (2017)
SGD learns the conjugate class of the network
Amit Daniely
NIPS (2017)
Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity
Amit Daniely
Roy Frostig
Yoram Singer
NIPS 2016 (2016)
Search on Google Scholar