140 citations · 382 across the 16 of their papers we have counts for
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cs.LG2020★ 4 cited
RSO: A Gradient Free Sampling Based Approach For Training Deep Neural Networks
Rohun Tripathi, Bharat Singh
We propose RSO (random search optimization), a gradient free Markov Chain Monte Carlo search based approach for training deep neural networks. To this end, RSO adds a perturbation…
cs.LG2016★ 140 cited
Training Neural Networks Without Gradients: A Scalable ADMM Approach
Gavin Taylor, Ryan Burmeister, Zheng Xu +3
With the growing importance of large network models and enormous training datasets, GPUs have become increasingly necessary to train neural networks. This is largely because conven…