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20162024
most citedLIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations

37 citations · 116 across the 12 of their papers we have counts for

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stat.ML2016

Tuning the Scheduling of Distributed Stochastic Gradient Descent with Bayesian Optimization

Valentin Dalibard, Michael Schaarschmidt, Eiko Yoneki

We present an optimizer which uses Bayesian optimization to tune the system parameters of distributed stochastic gradient descent (SGD). Given a specific context, our goal is to qu…