Concepedia

Mitchell Stern

MS

20

Publications

2.3K

Citations

17

H-Index

2017

Active since

Affiliations

University of California, Berkeley(Current)

Google (United States)

Mitchell Stern is an author at University of California, Berkeley specializing in engineering, machine learning, and data science.

Top concepts

EngineeringMachine LearningData ScienceNatural Language ProcessingComputer ScienceMachine TranslationComputational LinguisticsLanguageLinguisticsSyntax

Publications per year

2017–2022

20

Publications

20

The Marginal Value of Adaptive Gradient Methods in Machine Learning

Ashia Wilson, Rebecca Roelofs, Mitchell Stern et al. · arXiv (Cornell University) · 2017 · 552 citations · Full text

Artificial Intelligence, Marginal Value, Engineering +18

Abstract Syntax Networks for Code Generation and Semantic Parsing

Maxim Rabinovich, Mitchell Stern, Dan Klein · 2017 · 317 citations · Full text

The Marginal Value of Adaptive Gradient Methods in Machine Learning

Ashia Wilson, Rebecca Roelofs, Mitchell Stern et al. · Neural Information Processing Systems · 2017 · 246 citations

Artificial Intelligence, Marginal Value, Engineering +18

A Minimal Span-Based Neural Constituency Parser

Mitchell Stern, Jacob Andreas, Dan Klein · 2017 · 200 citations · Full text

Syntactic Parsing, Engineering, Dependency Linguistics +16

Adafactor: Adaptive Learning Rates with Sublinear Memory Cost

Noam Shazeer, Mitchell Stern · arXiv (Cornell University) · 2018 · 163 citations · Full text

Engineering, Machine Learning, Sequential Learning +18

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