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We present a tutorial on Bayesian optimization, a method of finding the maximum of expensive cost functions.
A law of comparative judgement
L. Thurstone · 1927
Earlier work this paper cites.
A statistical approach to some basic mine valuation problems on the Witwatersrand
D. G. Krige · 1951
Earlier work this paper cites.
Remarks on the method of paired comparisons: I. the least squares solution assuming equal standard deviations and equal correlations
F. Mosteller · 1951
Earlier work this paper cites.
Spatial Variation
B. Matérn · 1960
Earlier work this paper cites.
A new method of locating the maximum of an arbitrary multipeak curve in the presence of noise
H. J. Kushner · 1964
Earlier work this paper cites.
The theory of regionalized variables and its applications
G. Matheron · 1971
Earlier work this paper cites.
Rank Correlation Methods
M. Kendall · 1975
Earlier work this paper cites.
The Rating of Chess Players: Past and Present
Á. Élő · 1978
Earlier work this paper cites.
Toward Global Optimization
J. Močkus, V. Tiesis, and A. Žilinskas · 1978
Earlier work this paper cites.
On curve fitting and optimal design for regression
A. O’Hagan · 1978
Earlier work this paper cites.
Prospect theory: an analysis of decision making under risk
D. Kahneman and A. Tversky · 1979
Earlier work this paper cites.
Econometric models for probabilistic choice among products
D. McFadden · 1980
Earlier work this paper cites.
Lecture Notes in Control and Information Sciences
A. Žilinskas · 1980
Earlier work this paper cites.
The Bayesian approach to global optimization
J. Močkus · 1982
Earlier work this paper cites.
Nonparametric Statistics for the Behavioral Sciences
S. Siegel and N. J. Castellan · 1988
Earlier work this paper cites.
A global search method for optimizing nonlinear systems
B. Stuckman · 1988
Earlier work this paper cites.
Design and analysis of computer experiments
J. Sacks, W. J. Welch, T. J. Welch, and H. P. Wynn · 1989
Earlier work this paper cites.
Global Optimization
A. Törn and A. Žilinskas · 1989
Earlier work this paper cites.
Parameter estimation for imperfectly observed Gibbsian fields
L. Younes · 1989
Earlier work this paper cites.
A continuum of paired comparison models
H. Stern · 1990
Earlier work this paper cites.
Bayesian methods in global optimization
B. Betrò · 1991
Earlier work this paper cites.
A statistical method for global optimization
D. D. Cox and S. John · 1992
Earlier work this paper cites.
A practical bayesian framework for backpropagation networks
D. J. C. Mackay · 1992
Earlier work this paper cites.
Advances in prospect theory: Cumulative representation of uncertainty
A. Tversky and D. Kahneman · 1992
Earlier work this paper cites.
Lipschitzian optimization without the Lipschitz constant
D. R. Jones, C. D. Perttunen, and B. E. Stuckman · 1993
Earlier work this paper cites.
The Adaptive Decision Maker
J. W. Payne, J. R. Bettman, and E. J. Johnson · 1993
Earlier work this paper cites.
A sequential algorithm for training text classifiers
D. Lewis and W. Gale · 1994
Earlier work this paper cites.
Application of Bayesian approach to numerical methods of global and stochastic optimization
J. Močkus · 1994
Earlier work this paper cites.
Neuro-Dynamic Programming
D. P. Bertsekas and J. N. Tsitsiklis · 1996
Earlier work this paper cites.
SDO: A statistical method for global optimization
D. D. Cox and S. John · 1997
Earlier work this paper cites.
Stochastic Approximation Algorithms and Applications
H. J. Kushner and G. G. Yin · 1997
Earlier work this paper cites.
Bayesian algorithms for one-dimensional global optimization
M. Locatelli · 1997
Earlier work this paper cites.
Computer Experiments and Global Optimization
M. Schonlau · 1997
Earlier work this paper cites.
Model-based geostatistics
P. J. Diggle, J. A. Tawn, and R. A. Moyeed · 1998
Earlier work this paper cites.
Regression with input-dependent noise: A Gaussian process treatment
P. W. Goldberg, C. K. I. Williamsn, and C. M. Bishop · 1998
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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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Comparison of public-domain software for black-box global optimization
M. Mongeau, H. Karsenty, V. Rouzé, and J.-B. Hiriart-Urruty · 1998
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Hierarchical control and learning for markov decision processes
R. E. Parr · 1998
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Reinforcement Learning: An Introduction
R. S. Sutton and A. G. Barto · 1998
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Interpolation of Spatial Data: Some Theory for Kriging
M. L. Stein · 1999
Cited alongside, same era.
Preference uncertainty, preference refinement and paired comparison choice experiments
D. C. Kingsley · 2006
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Global Optimization: From Theory to Implementation
L. Liberti and N. Maculan, editors · 2006
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Analysis of particle methods for simultaneous robot localization and mapping and a new algorithm: Marginal-SLAM
R. Martinez–Cantin, N. de Freitas, and J. Castellanos · 2006
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Gaussian Processes for Machine Learning
C. E. Rasmussen and C. K. I. Williams · 2006
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Gaussian Processes for Regression and Optimisation
P. Boyle · 2007
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Active preference learning with discrete choice data
E. Brochu, N. de Freitas, and A. Ghosh · 2007
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A non-myopic utility function for statistical global optimization algorithms
S. Streltsov and P. Vakili · 1999
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Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning
R. S. Sutton, D. Precup, and S. P. Singh · 1999
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Surrogate-model-based method for constrained optimization
C. Audet, J. Jr, Dennis, D. W. Moore, A. Booker, and P. D. Frank · 2000
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Hierarchical reinforcement learning with the maxq value function decomposition
T. G. Dietterich · 2000
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Pegasus: A policy search method for large MDPs and POMDPs
A. Y. Ng and M. I. Jordan · 2000
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Sequential design of computer experiments to minimize integrated response functions
B. J. Williams, T. J. Santner, and W. I. Notz · 2000
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Preference galleries for material design
E. Brochu, A. Ghosh, and N. de Freitas · 2007
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Model-Based Geostatistics
P. J. Diggle and P. J. Ribeiro · 2007
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Active learning with Gaussian processes for object categorization
A. Kapoor, K. Grauman, R. Urtasun, and T. Sarrell · 2007
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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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Numerical Recipes: The Art of Scientific Computing
W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery · 2007
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Model-based active learning in hierarchical policies
V. M. Cora · 2008
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Using Gaussian processes to optimize expensive functions
M. Frean and P. Boyle · 2008
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A Multi-points Criterion for Deterministic Parallel Global Optimization based on Gaussian Processes
D. Ginsbourger, R. Le Riche, and L. Carraro · 2008
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Near-optimal sensor placements in Gaussian processes: Theory, efficient algorithms and empirical studies
A. Krause, A. Singh, and C. Guestrin · 2008
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Practical Bayesian Optimization
D. Lizotte · 2008
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On the convergence of the expected improvement algorithm
E. Vasquez and J. Bect · 2008
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Stochastic Global Optimization
A. Zhigljavsky and A. Žilinskas · 2008
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Hierarchical adaptive experimental design for Gaussian process emulators
D. Busby · 2009
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An experimental investigation of model-based parameter optimisation: SPO and beyond
F. Hutter, H. H. Hoos, K. Leyton-Brown, and K. P. Murphy · 2009
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Automating the Configuration of Algorithms for Solving Hard Computational Problems
F. Hutter · 2009
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A Bayesian exploration-exploitation approach for optimal online sensing and planning with a visually guided mobile robot
R. Martinez–Cantin, N. de Freitas, E. Brochu, J. Castellanos, and A. Doucet · 2009
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The open racing car simulator (http://torcs.sourceforge.net/), 2009
B. Wymann, C. Dimitrakakis, and C. Alexopoulos · 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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Sequential Bayesian prediction in the presence of changepoints and faults
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Bayesian optimization for sensor set selection
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Active data selection for sensor networks with faults and changepoints
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Bayesian Gaussian Processes for Sequential Prediction, Optimization and Quadrature
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Active learning literature survey
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Gaussian process optimization in the bandit setting: No regret and experimental design
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