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We address the problem of finding the maximizer of a nonlinear smooth function, that can only be evaluated point-wise, subject to constraints on the number of permitted function evaluations.
The Bayesian approach to global optimization
J. Močkus · 1982
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A comparative study of ordinary cross-validation, v-fold cross-validation and the repeated learning-testing methods
P. Burman · 1989
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Hoeffding races: Accelerating model selection search for classification and function approximation
O. Maron and A. W. Moore · 1994
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A taxonomy of global optimization methods based on response surfaces
D. Jones · 2001
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Finite-time analysis of the multiarmed bandit problem
P. Auer, N. Cesa-Bianchi, and P. Fischer · 2002
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Prediction, Learning, and Games
N. Cesa-Bianchi and G. Lugosi · 2006
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Active preference learning with discrete choice data
E. Brochu, N. de Freitas, and A. Ghosh · 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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Pure exploration in multi-armed bandits problems
S. Bubeck, R. Munos, and G. Stoltz · 2009
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Controlled experiments on the web: survey and practical guide
R. Kohavi, R. Longbotham, D. Sommerfield, and R. Henne · 2009
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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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A survey of cross-validation procedures for model selection
S. Arlot and A. Celisse · 2010
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Best arm identification in multi-armed bandits
J.-Y. Audibert, S. Bubeck, and R. Munos · 2010
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A modern Bayesian look at the multi-armed bandit
S. Scott · 2010
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Gaussian process optimization in the bandit setting: No regret and experimental design
N. Srinivas, A. Krause, S. M. Kakade, and M. Seeger · 2010
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Budgeted optimization with concurrent stochastic-duration experiments
J. Azimi, A. Fern, and X. Fern · 2011
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Algorithms for hyper-parameter optimization
J. Bergstra, R. Bardenet, Y. Bengio, and B. Kégl · 2011
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Multi-bandit best arm identification
V. Gabillon, M. Ghavamzadeh, A. Lazaric, and S. Bubeck · 2011
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Best arm identification: A unified approach to fixed budget and fixed confidence
V. Gabillon, M. Ghavamzadeh, and A. Lazaric · 2012
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Entropy search for information-efficient global optimization
P. Hennig and C. Schuler · 2012
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An experimental methodology for response surface optimization methods
D. J. Lizotte, R. Greiner, and D. Schuurmans · 2012
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Adaptive MCMC with Bayesian optimization
N. Mahendran, Z. Wang, F. Hamze, and N. de Freitas · 2012
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Machine learning: A probabilistic perspective
K. P. Murphy · 2012
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Practical Bayesian optimization of machine learning algorithms
J. Snoek, H. Larochelle, and R. Adams · 2012
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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
Cited alongside, same era.
Optimistic optimization of a deterministic function without the knowledge of its smoothness
R. Munos · 2011
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Opportunity cost in Bayesian optimization
J. Snoek, H. Larochelle, and R. P. Adams · 2011
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An empirical evaluation of Thompson sampling
O. Chapelle and L. Li · 2012
Cited alongside, same era.
Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations
N. de Freitas, A. Smola, and M. Zoghi · 2012
Cited alongside, same era.
Bayesian optimization in high dimensions via random embeddings
Z. Wang, M. Zoghi, D. Matheson, F. Hutter, and N. de Freitas · 2012
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Thompson sampling for contextual bandits with linear payoffs
S. Agrawal and N. Goyal · 2013
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Self-avoiding random dynamics on integer complex systems
F. Hamze, Z. Wang, and N. de Freitas · 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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Stochastic simultaneous optimistic optimization
M. Valko, A. Carpentier, and R. Munos · 2013
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