20 citations · 49 across the 11 of their papers we have counts for
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cs.LG2019★ 20 cited
Gradient Descent: The Ultimate Optimizer
Kartik Chandra, Audrey Xie, Jonathan Ragan-Kelley +1
Working with any gradient-based machine learning algorithm involves the tedious task of tuning the optimizer's hyperparameters, such as its step size. Recent work has shown how the…
cs.LG2019★ 20 cited
MLSys: The New Frontier of Machine Learning Systems
Alexander Ratner, Dan Alistarh, Gustavo Alonso +66
Machine learning (ML) techniques are enjoying rapidly increasing adoption. However, designing and implementing the systems that support ML models in real-world deployments remains…