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Bayesian Optimisation (BO) is a technique used in optimising a $D$-dimensional function which is typically expensive to evaluate.
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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Generalized Additive Models
Hastie, T. J. and Tibshirani, R. J · 1990
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Bayesian approach to global optimization and application to multiobjective and constrained problems
Mockus, J.B. and Mockus, L.J · 1991
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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
Mockus, Jonas · 1994
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Efficient global optimization of expensive black-box functions
Jones, Donald R., Schonlau, Matthias, and Welch, William J · 1998
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Rapid Object Detection using a Boosted Cascade of Simple Features
Viola, Paul A. and Jones, Michael J · 2001
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A Distribution Free Theory of Nonparametric Regression
Györfi, László, Kohler, Micael, Krzyzak, Adam, and Walk, Harro · 2002
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Using Confidence Bounds for Exploitation-exploration Trade-offs
Auer, Peter · 2003
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Posterior consistency of Gaussian process prior for nonparametric binary regression”
Ghosal, Subhashis and Roy, Anindya · 2006
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Automated Antenna Design with Evolutionary Algorithms
Hornby, G. S., Globus, A., Linden, D.S., and Lohn, J.D · 2006
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A Bayesian model selection analysis of WMAP3
Parkinson, David, Mukherjee, Pia, and Liddle, Andrew R · 2006
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Gaussian Processes for Machine Learning
Rasmussen, C.E. and Williams, C.K.I · 2006
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Cosmological Constraints from the SDSS Luminous Red Galaxies
Tegmark et al, M · 2006
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Automatic gait optimization with gaussian process regression
Lizotte, Daniel, Wang, Tao, Bowling, Michael, and Schuurmans, Dale · 2007
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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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Learning OpenCV
Bradski, Gary and Kaehler, Adrian · 2008
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Information Consistency of Nonparametric Gaussian Process Methods
Seeger, MW., Kakade, SM., and Foster, DP · 2008
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Sparse Additive Models
Ravikumar, Pradeep, Lafferty, John, Liu, Han, and Wasserman, Larry · 2009
Cited alongside, same era.
Joint Optimization and Variable Selection of High-dimensional Gaussian Processes
Chen, Bo, Castro, Rui, and Krause, Andreas · 2012
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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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Learning Where to Attend with Deep Architectures for Image Tracking
Denil, Misha, Bazzani, Loris, Larochelle, Hugo, and de Freitas, Nando · 2012
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Adaptive MCMC with Bayesian Optimization
Mahendran, Nimalan, Wang, Ziyu, Hamze, Firas, and de Freitas, Nando · 2012
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Active Learning of Model Evidence Using Bayesian Quadrature
Osborne, M., Duvenaud, D., Garnett, R., Rasmussen, C., Roberts, S., and Ghahramani, Z · 2012
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Practical Bayesian Optimization of Machine Learning Algorithms
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Batch Bayesian Optimization via Simulation Matching
Azimi, Javad, Fern, Alan, and Fern, Xiaoli Z · 2010
Cited alongside, same era.
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
Brochu, Eric, Cora, Vlad M., and de Freitas, Nando · 2010
Cited alongside, same era.
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
Srinivas, Niranjan, Krause, Andreas, Kakade, Sham, and Seeger, Matthias · 2010
Cited alongside, same era.
Algorithms for Hyper-Parameter Optimization
Bergstra, James S., Bardenet, Rémi, Bengio, Yoshua, and Kégl, Balázs · 2011
Cited alongside, same era.
Convergence Rates of Efficient Global Optimization Algorithms
Bull, Adam D · 2011
Cited alongside, same era.
Additive gaussian processes
Duvenaud, David K., Nickisch, Hannes, and Rasmussen, Carl Edward · 2011
Cited alongside, same era.
Snoek, Jasper, Larochelle, Hugo, and Adams, Ryan P · 2012
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High-Dimensional Gaussian Process Bandits
Djolonga, Josip, Krause, Andreas, and Cevher, Volkan · 2013
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Bayesian Optimization in High Dimensions via Random Embeddings
Wang, Ziyu, Zoghi, Masrour, Hutter, Frank, Matheson, David, and de Freitas, Nando · 2013
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Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures
Yamins, Daniel, Tax, David, and Bergstra, James S · 2013
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Talk on Current Challenges and Open Problems in Bayesian Optimization, 2014
de Freitas, Nando · 2014
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Bayesian Optimization for Synthetic Gene Design
Gonzalez, Javier, Longworth, Joseph, James, David, and Lawrence, Neil · 2014
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Bayesian Active Learning for Posterior Estimation
Kandasamy, Kirthevasan, Schneider, Jeff, and Póczos, Barnabás · 2015
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Active Pointillistic Pattern Search
Ma, Yifei, Sutherland, Dougal J., Garnett, Roman, and Schneider, Jeff G · 2015
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