Benjamin Recht 人物
Benjamin Recht · 相关论文
Understanding deep learning (still) requires rethinking generalization
2021Communications of the ACM引用 2254
Plenoxels: Radiance Fields without Neural Networks
20222022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)引用 1245
Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
2011Neural Information Processing Systems引用 1101
Tensor completion and low-n-rank tensor recovery via convex optimization
2011Inverse Problems引用 769
A Tour of Reinforcement Learning: The View from Continuous Control
2018Annual Review of Control Robotics and Autonomous Systems引用 595
Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning
2008引用 560
Occupy the cloud
2017引用 411
Train faster, generalize better: stability of stochastic gradient descent
2016International Conference on Machine Learning引用 399