| NESTA: A fast and accurate first-order method for sparse recovery S Becker, J Bobin, E Candes SIAM J. on Imaging Sciences 4 (1), 1--39, 2009 | 1445 | 2009 |
| Quantum state tomography via compressed sensing D Gross, YK Liu, ST Flammia, S Becker, J Eisert Physical review letters 105 (15), 150401, 2010 | 1296 | 2010 |
| Templates for convex cone problems with applications to sparse signal recovery SR Becker, EJ Candès, MC Grant Mathematical programming computation 3, 165-218, 2011 | 817 | 2011 |
| Convex optimization for big data: Scalable, randomized, and parallel algorithms for big data analytics V Cevher, S Becker, M Schmidt IEEE Signal Processing Magazine 31 (5), 32-43, 2014 | 368 | 2014 |
| Relation between the Widom line and the breakdown of the Stokes–Einstein relation in supercooled water P Kumar, SV Buldyrev, SR Becker, PH Poole, FW Starr, HE Stanley Proceedings of the National Academy of Sciences 104 (23), 9575-9579, 2007 | 205 | 2007 |
| Fractional Stokes-Einstein and Debye-Stokes-Einstein relations in a network-forming liquid SR Becker, PH Poole, FW Starr Physical review letters 97 (5), 55901, 2006 | 194 | 2006 |
| A nonuniform sampler for wideband spectrally-sparse environments M Wakin, S Becker, E Nakamura, M Grant, E Sovero, D Ching, J Yoo, ... IEEE Journal on Emerging and Selected Topics in Circuits and Systems 2 (3 …, 2012 | 187 | 2012 |
| A quasi-Newton proximal splitting method S Becker, MJ Fadili NIPS 2012, 2012 | 171 | 2012 |
| Dual smoothing and value function techniques for variational matrix decomposition A Aravkin, S Becker, T Bouwmans, NS Aybat, E Zahzah Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in …, 2016 | 132* | 2016 |
| A compressed sensing parameter extraction platform for radar pulse signal acquisition J Yoo, C Turnes, EB Nakamura, CK Le, S Becker, EA Sovero, MB Wakin, ... IEEE Journal on Emerging and Selected Topics in Circuits and Systems 2 (3 …, 2012 | 127 | 2012 |
| Low-rank tucker decomposition of large tensors using tensorsketch OA Malik, S Becker Advances in neural information processing systems 31, 2018 | 117 | 2018 |
| A 100MHz–2GHz 12.5 x sub-Nyquist rate receiver in 90nm CMOS J Yoo, S Becker, M Loh, M Monge, E Candes, A Emami-Neyestanak 2012 IEEE radio frequency integrated circuits symposium, 31-34, 2012 | 117 | 2012 |
| Design and implementation of a fully integrated compressed-sensing signal acquisition system J Yoo, S Becker, M Monge, M Loh, E Candes, A Emami-Neyestanak 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 114 | 2012 |
| Sparse projections onto the simplex A Kyrillidis, S Becker, V Cevher, C Koch 30th International Conference on Machine Learning, 2013 | 109 | 2013 |
| A variational approach to stable principal component pursuit A Aravkin, S Becker, V Cevher, P Olsen Uncertainty in Artificial Intelligence, 2014 | 99 | 2014 |
| Practical compressed sensing: modern data acquisition and signal processing SR Becker California Institute of Technology, 2011 | 98 | 2011 |
| Dynamical behavior near a liquid–liquid phase transition in simulations of supercooled water PH Poole, SR Becker, F Sciortino, FW Starr The Journal of Physical Chemistry B 115 (48), 14176-14183, 2011 | 93 | 2011 |
| Preconditioned Data Sparsification for Big Data with Applications to PCA and K-means F Pourkamali-Anaraki, S Becker IEEE Transactions Information Theory, 2017 | 80 | 2017 |
| Optimization and learning with information streams: Time-varying algorithms and applications E Dall'Anese, A Simonetto, S Becker, L Madden IEEE Signal Processing Magazine 37 (3), 71-83, 2020 | 79 | 2020 |
| On quasi-Newton forward-backward splitting: proximal calculus and convergence S Becker, J Fadili, P Ochs SIAM Journal on Optimization 29 (4), 2445-2481, 2019 | 60 | 2019 |
Emmanuel CandesThe Simons Chair in Mathematics and Statistics, Stanford University在 stanford.edu 的电子邮件经过验证
