AnySOS: An anytime algorithm for SOS programming. - Derek Driggs; Hamza Fawzi (CDC, 2019)

Adapting Regularized Low-Rank Models for Parallel Architectures. - Derek Driggs; Stephen Becker; Aleksandr Y. Aravkin (SIAM J. Sci. Comput., 2019)

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

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

A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization. - Derek Driggs; Junqi Tang; Jingwei Liang; Mike E. Davies 001; Carola-Bibiane Schönlieb (SIAM J. Imaging Sci., 2021)

On Biased Stochastic Gradient Estimation. - Derek Driggs; Jingwei Liang; Carola-Bibiane Schönlieb (J. Mach. Learn. Res., 2022)

Accelerating variance-reduced stochastic gradient methods. - Derek Driggs; Matthias J. Ehrhardt; Carola-Bibiane Schönlieb (Math. Program., 2022)

Nested Bregman Iterations for Decomposition Problems. - Tobias Wolf; Derek Driggs; Kostas Papafitsoros; Elena Resmerita; Carola-Bibiane Schönlieb (CoRR, 2024)

Practical Acceleration of the Condat-Vũ Algorithm. - Derek Driggs; Matthias J. Ehrhardt; Carola-Bibiane Schönlieb; Junqi Tang (SIAM J. Imaging Sci., 2024)