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Bayesian optimisation has gained great popularity as a tool for optimising the parameters of machine learning algorithms and models.
The Bayesian approach to global optimization
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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 taxonomy of global optimization methods based on response surfaces
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Gaussian Processes for Machine Learning
C. E. Rasmussen and C. K. I. Williams · 2006
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Automatic gait optimization with Gaussian process regression
D. Lizotte, T. Wang, M. Bowling, and D. Schuurmans · 2007
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Active policy learning for robot planning and exploration under uncertainty
R. Martinez-Cantin, N. de Freitas, A. Doucet, and J. A Castellanos · 2007
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E. Brochu, V. M. Cora, and N. de Freitas · 2009
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Gaussian processes for global optimisation
M. A. Osborne, R. Garnett, and S. J. Roberts · 2009
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A Bayesian interactive optimization approach to procedural animation design
E. Brochu, T. Brochu, and N. de Freitas · 2010
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Bayesian optimization for sensor set selection
R. Garnett, M. A. Osborne, and S. J. Roberts · 2010
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Gaussian process optimization in the bandit setting: No regret and experimental design
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Robust Gaussian process-based global optimization using a fully Bayesian expected improvement criterion
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J. Bergstra, R. Bardenet, Y. Bengio, and B. Kégl · 2011
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Convergence rates of efficient global optimization algorithms
A. D. Bull · 2011
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Portfolio allocation for Bayesian optimization
M.W. Hoffman, E. Brochu, and N. de Freitas · 2011
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Sequential model-based optimization for general algorithm configuration
F. Hutter, H. H. Hoos, and K. Leyton-Brown · 2011
Adaptive MCMC with Bayesian optimization
N. Mahendran, Z. Wang, F. Hamze, and N. de Freitas · 2012
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Bayesian optimisation for intelligent environmental monitoring
R. Marchant and F. Ramos · 2012
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Practical Bayesian optimization of machine learning algorithms
J. Snoek, H. Larochelle, and R. P. Adams · 2012
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Multi-task Bayesian optimization
K. Swersky, J. Snoek, and R. P. Adams · 2013
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Auto-WEKA: Combined selection and hyperparameter optimization of classification algorithms
C. Thornton, F. Hutter, H. H. Hoos, and K. Leyton-Brown · 2013
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Bayesian optimization in high dimensions via random embeddings
Z. Wang, M. Zoghi, D. Matheson, F. Hutter, and N. de Freitas · 2013
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Hybrid batch bayesian optimization
J. Azimi, A. Jalali, and X.Z. Fern · 2012
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Entropy search for information-efficient global optimization
P. Hennig and C.J. Schuler · 2012
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A tail inequality for quadratic forms of subgaussian random vectors
D. Hsu, S. M. Kakade, and T. Zhang · 2012
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Netflix is building an artificial brain using Amazon’s cloud, February, Wired.com 2014
K. Finley · 2014
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On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning
M.W. Hoffman, B. Shahriari, and N. de Freitas · 2014
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Bayesian multi-scale optimistic optimization
Z. Wang, B. Shakibi, L. Jin, and N. de Freitas · 2014
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