Derek Driggs

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 7

Top Topics

Machine Learning

Pulmonary Nodules

Computer Tomography

Top Venues

SIAM J. Imaging Sci.

Nat. Mach. Intell.

Publications

Derek Driggs, Jingwei Liang, Carola-Bibiane Schönlieb
On Biased Stochastic Gradient Estimation. J. Mach. Learn. Res. 23 (2022)
Derek Driggs, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb
Accelerating variance-reduced stochastic gradient methods. Math. Program. 191 (2) (2022)
Michael Roberts, Derek Driggs, Matthew Thorpe, Julian D. Gilbey, Michael Yeung, Stephan Ursprung, Angelica I. Avilés-Rivero, Christian Etmann, Cathal McCague, Lucian Beer, Jonathan R. Weir-McCall, Zhongzhao Teng, Effrossyni Gkrania-Klotsas, James H. F. Rudd, Evis Sala, Carola-Bibiane Schönlieb
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans. Nat. Mach. Intell. 3 (3) (2021)
Derek Driggs, Junqi Tang, Jingwei Liang, Mike E. Davies, Carola-Bibiane Schönlieb
A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization. SIAM J. Imaging Sci. 14 (4) (2021)
Michael Roberts, Derek Driggs, Matthew Thorpe, Julian D. Gilbey, Michael Yeung, Stephan Ursprung, Angelica I. Avilés-Rivero, Christian Etmann, Cathal McCague, Lucian Beer, Jonathan R. Weir-McCall, Zhongzhao Teng, James H. F. Rudd, Evis Sala, Carola-Bibiane Schönlieb
Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review. CoRR (2020)
Derek Driggs, Hamza Fawzi
AnySOS: An anytime algorithm for SOS programming. CDC (2019)
Derek Driggs, Stephen Becker, Aleksandr Y. Aravkin
Adapting Regularized Low-Rank Models for Parallel Architectures. SIAM J. Sci. Comput. 41 (1) (2019)