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Derek Driggs
Derek Driggs
University of Cambridge
Verified email at cantab.ac.uk
Title
Cited by
Cited by
Year
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
M Roberts, D Driggs, M Thorpe, J Gilbey, M Yeung, S Ursprung, ...
Nature Machine Intelligence 3 (3), 199-217, 2021
9282021
A stochastic proximal alternating minimization for nonsmooth and nonconvex optimization
D Driggs, J Tang, J Liang, M Davies, CB Schonlieb
SIAM Journal on Imaging Sciences 14 (4), 1932-1970, 2021
40*2021
Machine learning for COVID-19 diagnosis and prognostication: lessons for amplifying the signal while reducing the noise
D Driggs, I Selby, M Roberts, E Gkrania-Klotsas, JHF Rudd, G Yang, ...
Radiology: Artificial Intelligence 3 (4), e210011, 2021
312021
Accelerating variance-reduced stochastic gradient methods
D Driggs, MJ Ehrhardt, CB Schönlieb
Mathematical Programming, 1-45, 2022
302022
The asymptotic equivalence of fixed heat flux and fixed temperature thermal boundary conditions for rapidly rotating convection
MA Calkins, K Hale, K Julien, D Nieves, D Driggs, P Marti
Journal of Fluid Mechanics 784, R2, 2015
262015
Tensor robust principal component analysis: Better recovery with atomic norm regularization
D Driggs, S Becker, J Boyd-Graber
arXiv preprint arXiv:1901.10991, 2019
152019
On biased stochastic gradient estimation
D Driggs, J Liang, CB Schönlieb
Journal of Machine Learning Research 23 (24), 1-43, 2022
132022
Adapting regularized low-rank models for parallel architectures
D Driggs, S Becker, A Aravkin
SIAM Journal on Scientific Computing 41 (1), A163-A189, 2019
122019
P164 Using artificial intelligence to interrogate multi-national imaging datasets to determine the mechanism of COVID-19 pneumothorax
IA Selby, D Driggs, V Majcher, M Roberts, LE Sanchez, JHF Rudd, E Sala, ...
Thorax 77 (Suppl 1), A169-A170, 2022
22022
A.-C. collaboration
D Driggs, I Selby, M Roberts, E Gkrania-Klotsas, JH Rudd, G Yang, ...
Machine Learning for COVID-19 Diagnosis and Prognostication: Lessons for …, 2021
22021
AnySOS: An anytime algorithm for sos programming
D Driggs, H Fawzi
2019 IEEE 58th Conference on Decision and Control (CDC), 3012-3017, 2019
22019
Practical Acceleration of the Condat-V\~ u Algorithm
D Driggs, MJ Ehrhardt, CB Schönlieb, J Tang
arXiv preprint arXiv:2403.17100, 2024
2024
Accelerated Optimisation Algorithms for Machine Learning and Image Processing
D Driggs
2022
Optimization for High-Dimensional Data Analysis
DT Driggs
University of Colorado at Boulder, 2017
2017
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Articles 1–14