A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

12 December 2010

Papers citing "A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning"

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Title
Theoretical Analysis of Bayesian Optimisation with Unknown Gaussian Process Hyper-Parameters Ziyun Wang Nando de Freitas 120 89 0 30 Jun 2014
An Entropy Search Portfolio for Bayesian Optimization Bobak Shahriari Ziyun Wang Matthew W. Hoffman Alexandre Bouchard-Côté Nando de Freitas 142 57 0 18 Jun 2014
Freeze-Thaw Bayesian Optimization Kevin Swersky Jasper Snoek Ryan P. Adams 119 270 0 16 Jun 2014
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions José Miguel Hernández-Lobato Matthew W. Hoffman Zoubin Ghahramani 111 648 0 10 Jun 2014
BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits Ruben Martinez-Cantin 118 287 0 29 May 2014
Bayesian Optimization with Unknown Constraints M. Gelbart Jasper Snoek Ryan P. Adams 105 450 0 22 Mar 2014
Learning to Optimize via Information-Directed Sampling Daniel Russo Benjamin Van Roy 203 285 0 21 Mar 2014
Modeling an Augmented Lagrangian for Blackbox Constrained Optimization R. Gramacy G. A. Gray Sébastien Le Digabel Herbert K. H. Lee P. Ranjan Garth Weels Stefan M. Wild 78 11 0 19 Mar 2014
Active Learning for Autonomous Intelligent Agents: Exploration, Curiosity, and Interaction M. Lopes Luis Montesano 130 14 0 06 Mar 2014
Bayesian Multi-Scale Optimistic Optimization Ziyun Wang B. Shakibi L. Jin Nando de Freitas 132 95 0 27 Feb 2014
Student-t Processes as Alternatives to Gaussian Processes Amar Shah A. Wilson Zoubin Ghahramani GP 123 203 0 18 Feb 2014
GPS-ABC: Gaussian Process Surrogate Approximate Bayesian Computation Edward Meeds Max Welling 213 124 0 13 Jan 2014
No Free Lunch Theorem and Bayesian probability theory: two sides of the same coin. Some implications for black-box optimization and metaheuristics L. Serafino 64 8 0 23 Nov 2013
Particle filter-based Gaussian process optimisation for parameter inference J. Dahlin Fredrik Lindsten GP 85 20 0 04 Nov 2013
Active Learning of Linear Embeddings for Gaussian Processes Roman Garnett Michael A. Osborne Philipp Hennig GP 124 92 0 24 Oct 2013
BayesOpt: A Library for Bayesian optimization with Robotics Applications Ruben Martinez-Cantin 71 0 0 03 Sep 2013
Exploiting correlation and budget constraints in Bayesian multi-armed bandit optimization Matthew W. Hoffman Bobak Shahriari Nando de Freitas 122 15 0 27 Mar 2013
Adaptive Hamiltonian and Riemann Manifold Monte Carlo Samplers Ziyun Wang S. Mohamed Nando de Freitas 184 56 0 25 Feb 2013
Bayesian Optimization in a Billion Dimensions via Random Embeddings Ziyun Wang Frank Hutter M. Zoghi David Matheson Nando de Freitas 219 447 0 09 Jan 2013
Optimized Look-Ahead Tree Policies: A Bridge Between Look-Ahead Tree Policies and Direct Policy Search T. Jung L. Wehenkel D. Ernst Francis Maes 57 5 0 23 Aug 2012
Auto-WEKA: Combined Selection and Hyperparameter Optimization of Classification Algorithms C. Thornton Frank Hutter Holger H. Hoos Kevin Leyton-Brown 96 76 0 18 Aug 2012
Joint Optimization and Variable Selection of High-dimensional Gaussian Processes Bo Chen R. Castro Andreas Krause GP 121 87 0 27 Jun 2012
Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization Thomas Desautels Andreas Krause J. W. Burdick 116 472 0 27 Jun 2012
Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations Nando de Freitas Alex Smola M. Zoghi 107 112 0 27 Jun 2012
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 336 12,494 0 24 Jun 2012
Active Learning for Matching Problems Laurent Charlin R. Zemel Craig Boutilier 74 10 0 18 Jun 2012
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 397 8,008 0 13 Jun 2012
A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function Pedro A. Ortega Jordi Grau-Moya Tim Genewein David Balduzzi Daniel A. Braun 113 2 0 09 Jun 2012
A Lipschitz Exploration-Exploitation Scheme for Bayesian Optimization A. Jalali J. Azimi Xiaoli Z. Fern Ruofei Zhang 128 9 0 30 Mar 2012
Decentralized, Adaptive, Look-Ahead Particle Filtering Mohamed Osama Ahmed Pouyan T. Bibalan Nando de Freitas Simon Fauvel 85 3 0 12 Mar 2012
Regret Bounds for Deterministic Gaussian Process Bandits Nando de Freitas Alex Smola M. Zoghi GP 493 11 0 09 Mar 2012
Hybrid Batch Bayesian Optimization J. Azimi A. Jalali Xiaoli Z. Fern 95 70 0 25 Feb 2012
Self-Avoiding Random Dynamics on Integer Complex Systems F. Hamze Ziyun Wang Nando de Freitas 122 25 0 23 Nov 2011
Bayesian Optimization for Adaptive MCMC Nimalan Mahendran Ziyun Wang F. Hamze Nando de Freitas 89 3 0 29 Oct 2011
Dynamic Batch Bayesian Optimization J. Azimi A. Jalali Xiaoli Z. Fern 90 7 0 14 Oct 2011
Learning where to Attend with Deep Architectures for Image Tracking Misha Denil Loris Bazzani Hugo Larochelle Nando de Freitas 134 207 0 16 Sep 2011
Convergence rates of efficient global optimization algorithms Adam D. Bull 188 644 0 18 Jan 2011
Portfolio Allocation for Bayesian Optimization E. Brochu Matthew W. Hoffman Nando de Freitas 464 281 0 28 Sep 2010
Gaussian Process Bandits for Tree Search: Theory and Application to Planning in Discounted MDPs Louis Dorard John Shawe-Taylor GP 112 1 0 03 Sep 2010
Adaptive Submodularity: Theory and Applications in Active Learning and Stochastic Optimization Daniel Golovin Andreas Krause 187 605 0 21 Mar 2010
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design Niranjan Srinivas Andreas Krause Sham Kakade Matthias Seeger 201 1,627 0 21 Dec 2009