8 citations · 8 across the 2 of their papers we have counts for
2 papers
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…
cs.LG2016★ 8 cited
Learning Runtime Parameters in Computer Systems with Delayed Experience Injection
Michael Schaarschmidt, Felix Gessert, Valentin Dalibard +1
Learning effective configurations in computer systems without hand-crafting models for every parameter is a long-standing problem. This paper investigates the use of deep reinforce…