Concepedia

Noah Golowich

NG

11

Publications

487

Citations

11

H-Index

2018

Active since

Affiliations

Massachusetts Institute of Technology(Current)

Harvard University Press

IT University of Copenhagen

Google (United States)

Princeton University

Noah Golowich is an author at Massachusetts Institute of Technology specializing in engineering, computer science, and machine learning.

Top concepts

EngineeringComputer ScienceMachine LearningDeep LearningPrivacyBusinessGame TheoryCryptographyData PrivacyData Security

Publications per year

2018–2022

11

Publications

11

A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks

Sanjeev Arora, Nadav Cohen, Noah Golowich et al. · arXiv (Cornell University) · 2018 · 113 citations · Full text

Model Optimization, Gradient Descent, Engineering +11

Size-independent sample complexity of neural networks

Noah Golowich, Alexander Rakhlin, Ohad Shamir · Information and Inference A Journal of the IMA · 2019 · 104 citations · Full text

Norm Constraints, Neural Scaling Law, Engineering +12

Deep Learning for Multi-Facility Location Mechanism Design

Noah Golowich, Harikrishna Narasimhan, David C. Parkes · 2018 · 63 citations · Full text

Artificial Intelligence, Mathematical Programming, Facility Planning +20

A convergence analysis of gradient descent for deep linear neural networks

Sanjeev Arora, Nadav Cohen, Noah Golowich et al. · 2018 · 58 citations

Model Optimization, Gradient Descent, Engineering +11

Theory of Deep Learning IIb: Optimization Properties of SGD

Chiyuan Zhang, Qianli Liao, Alexander Rakhlin et al. · arXiv (Cornell University) · 2018 · 45 citations · Full text

Model Optimization, Global Minimizers, Engineering +11

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