Concepedia

Brian Bullins

BB

14

Publications

563

Citations

12

H-Index

2014

Active since

Affiliations

Princeton University(Current)

Toyota Technological Institute at Chicago

Google (United States)

Weizmann Institute of Science

University of Chicago

Brian Bullins is an author at Princeton University specializing in computer science, engineering, and machine learning.

Top concepts

EngineeringComputer ScienceMachine LearningConvex OptimizationMathematical ProgrammingStochastic OptimizationInverse ProblemsNumerical AnalysisApproximation TheoryData Science

Publications per year

2014–2022

14

Publications

14

Finding approximate local minima faster than gradient descent

Naman Agarwal, Zeyuan Allen-Zhu, Brian Bullins et al. · 2017 · 157 citations

Numerical Analysis, Mathematical Programming, Model Optimization +13

Online Control with Adversarial Disturbances

Naman Agarwal, Brian Bullins, Elad Hazan et al. · arXiv (Cornell University) · 2019 · 61 citations · Full text

Artificial Intelligence, Control Strategy, Engineering +12

Is Local SGD Better than Minibatch SGD

Blake Woodworth, Kumar Kshitij Patel, Sebastian U. Stich et al. · 2020 · 61 citations

Mathematical Programming, Local Sgd, Local Sgd Better +13

Is Local SGD Better than Minibatch SGD?

Blake Woodworth, Kumar Kshitij Patel, Sebastian U. Stich et al. · arXiv (Cornell University) · 2020 · 45 citations · Full text

Mathematical Programming, Local Sgd, Local Sgd Better +13

Second Order Stochastic Optimization in Linear Time.

Naman Agarwal, Brian Bullins, Elad Hazan · arXiv (Cornell University) · 2016 · 42 citations · Full text

Mathematical Programming, Engineering, Machine Learning +11

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