438 citations · 1k across the 14 of their papers we have counts for
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cs.LG2015★ 378 cited
Generative Moment Matching Networks
Yujia Li, Kevin Swersky, Richard Zemel
We consider the problem of learning deep generative models from data. We formulate a method that generates an independent sample via a single feedforward pass through a multilayer…
stat.ML2015★ 438 cited
Scalable Bayesian Optimization Using Deep Neural Networks
Jasper Snoek, Oren Rippel, Kevin Swersky +6
Bayesian optimization is an effective methodology for the global optimization of functions with expensive evaluations. It relies on querying a distribution over functions defined b…