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Bandit methods for black-box optimisation, such as Bayesian optimisation, are used in a variety of applications including hyper-parameter tuning and experiment design.
On the Likelihood that one Unknown Probability Exceeds Another in View of the Evidence of Two Samples
Thompson, W. R · 1933
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Lipschitzian Optimization Without the Lipschitz Constant
Jones, D. R., Perttunen, C. D., and Stuckman, B. E · 1993
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Application of Bayesian approach to numerical methods of global and stochastic optimization
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Posterior consistency of Gaussian process prior for nonparametric binary regression”
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Sequential kriging optimization using multiple-fidelity evaluations
Huang, D., Allen, T.T., Notz, W.I., and Miller, R.A · 2006
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A Bayesian model selection analysis of WMAP3
Parkinson, D., Mukherjee, P., and Liddle, A.. R · 2006
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Gaussian Processes for Machine Learning
Rasmussen, C.E. and Williams, C.K.I · 2006
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Scrutinizing Exotic Cosmological Models Using ESSENCE Supernova Data Combined with Other Cosmological Probes
Davis et al, T. M · 2007
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Multi-fidelity optimization via surrogate modelling
Forrester, Alexander I. J., Sóbester, András, and Keane, Andy J · 2007
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Automatic gait optimization with gaussian process regression
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Active Policy Learning for Robot Planning and Exploration under Uncertainty
Martinez-Cantin, R., de Freitas, N., Doucet, A., and Castellanos, J · 2007
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Information Consistency of Nonparametric Gaussian Process Methods
Seeger, MW., Kakade, SM., and Foster, DP · 2008
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A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical RL
Brochu, E., Cora, V. M., and de Freitas, N · 2010
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Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
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Multi-task bayesian optimization
Swersky, Kevin, Snoek, Jasper, and Adams, Ryan P · 2013
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Sequential design and analysis of high-accuracy and low-accuracy computer codes
Xiong, Shifeng, Qian, Peter Z. G., and Wu, C. F. Jeff · 2013
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Reinforcement Learning with Multi-Fidelity Simulators
Cutler, Mark, Walsh, Thomas J., and How, Jonathan P · 2014
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Bayesian Optimization for Synthetic Gene Design
Gonzalez, J., Longworth, J., James, D., and Lawrence, N · 2014
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Predictive Entropy Search for Efficient Global Optimization of Black-box Functions
Hernández-Lobato, José Miguel, Hoffman, Matthew W, and Ghahramani, Zoubin · 2014
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High Dimensional Bayesian Optimisation and Bandits via Additive Models
Kandasamy, Kirthevasan, Schenider, Jeff, and Póczos, Barnabás · 2015
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Zhang, C. and Chaudhuri, K · 2010
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Oracle inequalities for computationally budgeted model selection
Agarwal, Alekh, Duchi, John C, Bartlett, Peter L, and Levrard, Clement · 2011
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Sequential Model-based Optimization for General Algorithm Configuration
Hutter, Frank, Hoos, Holger H., and Leyton-Brown, Kevin · 2011
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Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations
de Freitas, Nando, Smola, Alex J., and Zoghi, Masrour · 2012
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Practical Bayesian Optimization of Machine Learning Algorithms
Snoek, J., Larochelle, H., and Adams, R. P · 2012
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High-Dimensional Gaussian Process Bandits
Djolonga, J, Krause, A, and Cevher, V · 2013
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Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations
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Towards efficient Bayesian Optimization for Big Data
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Selecting near-optimal learners via incremental data allocation
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Hyperband: A novel bandit-based approach to hyperparameter optimization
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Multi-information source optimization
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On the optimal estimation of probability measures in weak and strong topologies
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