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Open Loop Hyperparameter Optimization and Determinantal Point Processes
6 June 2017
Jesse Dodge
Catrìona Anderson
Noah A. Smith
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Papers citing
"Open Loop Hyperparameter Optimization and Determinantal Point Processes"
6 / 6 papers shown
Title
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning
Zi Wang
Chengtao Li
Stefanie Jegelka
Pushmeet Kohli
66
124
0
06 Mar 2017
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
468
5,373
0
05 Nov 2016
A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification
Ye Zhang
Byron C. Wallace
AAML
112
1,200
0
13 Oct 2015
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
252
1,140
0
25 Jul 2012
Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek
Hugo Larochelle
Ryan P. Adams
359
7,954
0
13 Jun 2012
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
E. Brochu
Vlad M. Cora
Nando de Freitas
GP
138
2,448
0
12 Dec 2010
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