Benjamin Recht
Benjamin Recht
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Exact matrix completion via convex optimization
E Candes, B Recht
Communications of the ACM 55 (6), 111-119, 2012
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
Random features for large-scale kernel machines
A Rahimi, B Recht
Advances in neural information processing systems 20, 2007
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
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
Physical one-way functions
R Pappu, B Recht, J Taylor, N Gershenfeld
Science 297 (5589), 2026, 2002
Do imagenet classifiers generalize to imagenet?
B Recht, R Roelofs, L Schmidt, V Shankar
International conference on machine learning, 5389-5400, 2019
The Convex Geometry of Linear Inverse Problems
V Chandrasekaran, B Recht, PA Parrilo, AS Willsky
Foundations of Computational Mathematics 12 (6), 805-849, 2012
Train faster, generalize better: Stability of stochastic gradient descent
M Hardt, B Recht, Y Singer
International conference on machine learning, 1225-1234, 2016
The marginal value of adaptive gradient methods in machine learning
AC Wilson, R Roelofs, M Stern, N Srebro, B Recht
Advances in neural information processing systems 30, 2017
Compressed sensing off the grid
G Tang, BN Bhaskar, P Shah, B Recht
IEEE Transactions on Information Theory 59 (11), 7465-7490, 2013
A simpler approach to matrix completion
B Recht
The Journal of Machine Learning Research 12, 3413-3430, 2011
Plenoxels: Radiance fields without neural networks
S Fridovich-Keil, A Yu, M Tancik, Q Chen, B Recht, A Kanazawa
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
Tensor completion and low-n-rank tensor recovery via convex optimization
S Gandy, B Recht, I Yamada
Inverse problems 27 (2), 025010, 2011
Gradient descent only converges to minimizers
JD Lee, M Simchowitz, MI Jordan, B Recht
Conference on learning theory, 1246-1257, 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
A tour of reinforcement learning: The view from continuous control
B Recht
Annual Review of Control, Robotics, and Autonomous Systems 2 (1), 253-279, 2019
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
Simple random search of static linear policies is competitive for reinforcement learning
H Mania, A Guy, B Recht
Advances in neural information processing systems 31, 2018
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
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