150 citations · 221 across the 19 of their papers we have counts for
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stat.ML2017★ 23 cited
Learning to Warm-Start Bayesian Hyperparameter Optimization
Jungtaek Kim, Saehoon Kim, Seungjin Choi
Hyperparameter optimization aims to find the optimal hyperparameter configuration of a machine learning model, which provides the best performance on a validation dataset. Manual s…
stat.ML2017
Bayesian inference on random simple graphs with power law degree distributions
Juho Lee, Creighton Heaukulani, Zoubin Ghahramani +2
We present a model for random simple graphs with a degree distribution that obeys a power law (i.e., is heavy-tailed). To attain this behavior, the edge probabilities in the graph…