Fetching the paper…
Reading the bibliography…
Bayesian optimization is a sample-efficient approach to solving global optimization problems.
Lipschitzian optimization without the Lipschitz constant
D. R. Jones, C. D. Perttunen, and B. E. Stuckman · 1993
Earlier work this paper cites.
Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization
C. Zhu, R. H. Byrd, P. Lu, and J. Nocedal · 1997
Earlier work this paper cites.
The tradeoffs of large scale learning
O. Bousquet and L. Bottou · 2008
Earlier work this paper cites.
Gaussian processes for global optimization
M. A. Osborne, R. Garnett, and S. J. Roberts · 2009
Earlier work this paper cites.
Kriging is well-suited to parallelize optimization , chapter 6
D. Ginsbourger, R. Le Riche, and L. Carraro · 2010
Earlier work this paper cites.
Gaussian process optimization in the bandit setting: No regret and experimental design
N. Srinivas, A. Krause, S. Kakade, and M. Seeger · 2010
Earlier work this paper cites.
Gaussian probabilities and expectation propagation
J. P. Cunningham, P. Hennig, and S. Lacoste-Julien · 2011
Earlier work this paper cites.
Random search for hyper-parameter optimization
J. Bergstra and Y. Bengio · 2012
Cited alongside, same era.
Entropy search for information-efficient global optimization
P. Hennig and C. Schuler · 2012
Cited alongside, same era.
Practical Bayesian optimization of machine learning algorithms
J. Snoek, H. Larochelle, and R. P. Adams · 2012
Cited alongside, same era.
Fast computation of the multi-points expected improvement with applications in batch selection
C. Chevalier and D. Ginsbourger · 2013
Cited alongside, same era.
Parallel Gaussian process optimization with upper confidence bound and pure exploration
E. Contal, D. Buffoni, A. Robicquet, and N. Vayatis · 2013
Cited alongside, same era.
Monte Carlo methods in financial engineering
P. Glasserman · 2013
Cited alongside, same era.
Predictive entropy search for efficient global optimization of black-box functions
J. Hernández-Lobato, M. Hoffman, and Z. Ghahramani · 2014
Later among the works it cites.
Adam: A method for stochastic optimization
D. Kingma and J. Ba · 2014
Later among the works it cites.
Auto-encoding variational Bayes
D. P. Kingma and M. Welling · 2014
Later among the works it cites.
Stochastic backpropagation and variational inference in deep latent Gaussian models
D. J. Rezende, M. Shakir, and D. Wierstra · 2014
Later among the works it cites.
Categorical reparameterization with Gumbel-Softmax
E. Jang, S. Gu, and B. Poole · 2016
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Parallelizing exploration-exploitation tradeoffs in Gaussian process bandit optimization
T. Desautels, A. Krause, and J. W. Burdick · 2014
Cited alongside, same era.
C. J. Maddison, A. Mnih, and Y. W. Teh · 2016
Later among the works it cites.
Parallel Bayesian global optimization of expensive functions
J. Wang, S. C. Clark, E. Liu, and P. I. Frazier · 2016
Later among the works it cites.