Derek Driggs

Orcid: 0000-0003-1582-5884

According to our database1, Derek Driggs authored at least 7 papers between 2019 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

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Bibliography

2022
Accelerating variance-reduced stochastic gradient methods.
Math. Program., 2022

On Biased Stochastic Gradient Estimation.
J. Mach. Learn. Res., 2022

2021
A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization.
SIAM J. Imaging Sci., 2021

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans.
Nat. Mach. Intell., 2021

2020
Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review.
CoRR, 2020

2019
Adapting Regularized Low-Rank Models for Parallel Architectures.
SIAM J. Sci. Comput., 2019

AnySOS: An anytime algorithm for SOS programming.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019


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