| Exact matrix completion via convex optimization EJ Candès, B Recht Foundations of Computational mathematics 9 (6), 717-772, 2009 | 5726 | 2009 |
| Guaranteed minimum-rank solutions of linear matrix equations via nuclear norm minimization B Recht, M Fazel, PA Parrilo SIAM Review 52 (3), 471-501, 2010 | 3497 | 2010 |
| Understanding deep learning (still) requires rethinking generalization C Zhang, S Bengio, M Hardt, B Recht, O Vinyals Communications of the ACM 64 (3), 107-115, 2021 | 3275 | 2021 |
| Random Features for Large-Scale Kernel Machines. A Rahimi, B Recht NIPS 3 (4), 5, 2007 | 2931 | 2007 |
| Hogwild!: A lock-free approach to parallelizing stochastic gradient descent F Niu, B Recht, C Ré, SJ Wright Advances in Neural Information Processing Systems 24, 693--701, 2011 | 2223 | 2011 |
| Physical one-way functions R Pappu, B Recht, J Taylor, N Gershenfeld Science 297 (5589), 2026, 2002 | 1902 | 2002 |
| The Convex Geometry of Linear Inverse Problems V Chandrasekaran, B Recht, PA Parrilo, AS Willsky Foundations of Computational Mathematics 12 (6), 805-849, 2012 | 1276 | 2012 |
| A simpler approach to matrix completion B Recht The Journal of Machine Learning Research 12, 3413-3430, 2011 | 982 | 2011 |
| Compressed sensing off the grid G Tang, BN Bhaskar, P Shah, B Recht IEEE Transactions on Information Theory 59 (11), 7465-7490, 2013 | 944 | 2013 |
| The marginal value of adaptive gradient methods in machine learning AC Wilson, R Roelofs, M Stern, N Srebro, B Recht arXiv preprint arXiv:1705.08292, 2017 | 769 | 2017 |
| Train faster, generalize better: Stability of stochastic gradient descent M Hardt, B Recht, Y Singer International Conference on Machine Learning, 1225-1234, 2016 | 725 | 2016 |
| Tensor completion and low-n-rank tensor recovery via convex optimization S Gandy, B Recht, I Yamada Inverse problems 27 (2), 025010, 2011 | 706 | 2011 |
| Gradient descent only converges to minimizers JD Lee, M Simchowitz, MI Jordan, B Recht Conference on learning theory, 1246-1257, 2016 | 639* | 2016 |
| Weighted sums of random kitchen sinks: Replacing minimization with randomization in learning A Rahimi, B Recht Advances in Neural Information Processing Systems 21, 2008 | 587 | 2008 |
| Do imagenet classifiers generalize to imagenet? B Recht, R Roelofs, L Schmidt, V Shankar International Conference on Machine Learning, 5389-5400, 2019 | 485* | 2019 |
| Atomic norm denoising with applications to line spectral estimation BN Bhaskar, G Tang, B Recht IEEE Transactions on Signal Processing 61 (23), 5987-5999, 2013 | 459 | 2013 |
| Online identification and tracking of subspaces from highly incomplete information L Balzano, R Nowak, B Recht 2010 48th Annual allerton conference on communication, control, and …, 2010 | 421 | 2010 |
| Analysis and design of optimization algorithms via integral quadratic constraints L Lessard, B Recht, A Packard SIAM Journal on Optimization 26 (1), 57-95, 2016 | 411 | 2016 |
| Ernest: Efficient performance prediction for large-scale advanced analytics S Venkataraman, Z Yang, M Franklin, B Recht, I Stoica 13th {USENIX} Symposium on Networked Systems Design and Implementation …, 2016 | 402 | 2016 |
| Blind deconvolution using convex programming A Ahmed, B Recht, J Romberg IEEE Transactions on Information Theory 60 (3), 1711-1732, 2013 | 386 | 2013 |
