| Rate of convergence analysis of decomposition methods based on the proximal method of multipliers for convex minimization R Shefi, M Teboulle SIAM Journal on Optimization 24 (1), 269-297, 2014 | 193 | 2014 |
| On the rate of convergence of the proximal alternating linearized minimization algorithm for convex problems R Shefi, M Teboulle EURO Journal on Computational Optimization 4, 27-46, 2016 | 34 | 2016 |
| A moving balls approximation method for a class of smooth constrained minimization problems A Auslender, R Shefi, M Teboulle SIAM Journal on Optimization 20 (6), 3232-3259, 2010 | 29 | 2010 |
| Development of a multiomics database for personalized prognostic forecasting in head and neck cancer: The Big Data to Decide EU Project S Cavalieri, L De Cecco, RH Brakenhoff, MS Serafini, S Canevari, S Rossi, ... Head & neck 43 (2), 601-612, 2021 | 28 | 2021 |
| A globally linearly convergent method for pointwise quadratically supportable convex–concave saddle point problems DR Luke, R Shefi Journal of Mathematical Analysis and Applications 457 (2), 1568-1590, 2018 | 15 | 2018 |
| A dual method for minimizing a nonsmooth objective over one smooth inequality constraint R Shefi, M Teboulle Mathematical Programming 159, 137-164, 2016 | 7 | 2016 |
| Rate of convergence analysis for convex nonsmooth optimization algorithms R Shefi Tel-Aviv University, 2015 | 7 | 2015 |
| Efficient, Quantitative Numerical Methods for Statistical Image Deconvolution and Denoising DR Luke, C Charitha, R Shefi, Y Malitsky Nanoscale Photonic Imaging, 313-338, 2020 | 2 | 2020 |
| Genomics features (GF) and integration with MRI radiomics features (RF) to develop a prognostic model in oral cavity squamous cell carcinoma (OSCC) S Cavalieri, L De Cecco, G Calareso, M Silva, SE Gazzani, M Bologna, ... Annals of Oncology 29, viii376, 2018 | | 2018 |
| A Moving Balls Approximation Method for Smooth Constrained Minimization R Shefi Tel Aviv University, 2009 | | 2009 |
