Elad Eban
Dr. Elad Eban is a staff research scientist at Google Research (Perception). Since joining Google in 2015, he focused his research on leveraging ML theory towards designing better algorithms that can be directly integrated into production systems. Models utilizing his work have been deployed in various Google products serving billions of users. Previously, Elad founded an ML consulting firm supporting startups and small companies.
Elad's research has been published in top-tier journals such as Nature Neuroscience, and presented in top machine learning and computer vision conferences such as ICML (including a best paper award), CVPR, and UAI. He obtained his PhD in 2015 from the Hebrew University of Jerusalem under the supervision of Amir Globerson and Shai Shalev-Shwartz.
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Fine-Grained Stochastic Architecture Search
Shraman Ray Chaudhuri
Hanhan Li
Max Moroz
ICLR Workshop on Neural Architecture Search, @article{chaudhuri2020fine,
title={Fine-grained stochastic architecture search},
author={Chaudhuri, Shraman Ray and Eban, Elad and Li, Hanhan and Moroz, Max and Movshovitz-Attias, Yair},
journal={ICLR Workshop on Neural Architecture Search},
year={2020}
} (2020)
Sky Optimization: Semantically aware image processing in low-light photography
Yun-Ta Tsai
Huizhong Chen
(2020), pp. 526-527
Structured Multi-Hashing for Model Compression
Andrew Poon
Yerlan Idelbayev
Miguel A. Carreira-Perpinan
(2019)
Seq2Slate: Re-ranking and Slate Optimization with RNNs
Irwan Bello
Sagar Jain
Alan Mackey
arXiv (2019)
Scalable Learning of Non-Decomposable Objectives
Alan Mackey
Ariel Gordon
arXiv preprint arXiv:1608.04802 (2016)
