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The selection of hyper-parameters is critical in Deep Learning.
Algorithm 247: Radical-inverse quasi-random point sequence
J. H. Halton · 1964
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Optimal strategies of the search for an extremum
A. Sukharev · 1971
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Uniformly distributed sequences with an additional uniform property
I. Sobol · 1976
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New approach to the design of multifactor experiments
V. Eglajs and P. Audze · 1977
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Algorithm 659: Implementing Sobol’s quasirandom sequence generator
P. Bratley and B. L. Fox · 1988
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Building a large annotated corpus of english: The penn treebank
M. P. Marcus, M. A. Marcinkiewicz, and B. Santorini · 1993
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Orthogonal array-based latin hypercubes
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Quasi-monte-carlo methods and the dispersion of point sequences
G. Rote and R. F. Tichy · 1996
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On the use of low discrepancy sequences in monte carlo methods
B. Tuffin · 1996
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Efficient global optimization of expensive black-box functions
D. R. Jones, M. Schonlau, and W. J. Welch · 1998
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A comparison of three methods for selecting values of input variables in the analysis of output from a computer code
M. D. McKay, R. J. Beckman, and W. J. Conover · 2000
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The theory of evolution strategies
H. Beyer · 2001
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50000 euros prize for compressing human knowledge
M. Hutter · 2006
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Nonlinear Optimization
A. Ruszczynski · 2006
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An informational approach to the global optimization of expensive-to-evaluate functions
J. Villemonteix, E. Vazquez, and E. Walter · 2009
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Entropy search for information-efficient global optimization
P. Hennig and C. J. Schuler · 2011
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Random search for hyper-parameter optimization
J. Bergstra and Y. Bengio · 2012
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Almost Optimal Exploration in Multi-Armed Bandits
Z. S. Karnin, T. Koren, and O. Somekh · 2013
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An evaluation of adaptive surrogate modeling based optimization with two benchmark problems
C. Wang, Q. Duan, W. Gong, A. Ye, Z. Di, and C. Miao · 2014
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Introduction to Derivative-Free Optimization
A. R. Conn, K. Scheinberg, and L. N. Vicente · 2009
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Cifar-10 (canadian institute for advanced research)
A. Krizhevsky, V. Nair, and G. Hinton · 2009
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Speeding up automatic hyperparameter optimization of deep neural networks by extrapolation of learning curves
T. Domhan, J. T. Springenberg, and F. Hutter · 2015
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Differentially private bayesian optimization
M. J. Kusner, J. R. Gardner, R. Garnett, and K. Q. Weinberger · 2015
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Efficient hyperparameter optimization and infinitely many armed bandits
L. Li, K. G. Jamieson, G. DeSalvo, A. Rostamizadeh, and A. Talwalkar · 2016
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