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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Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization Daniel Beck Adria de Gispert Gonzalo Iglesias Aurelien Waite Bill Byrne 23 5 0 18 Apr 2016
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Online Optimization with Costly and Noisy Measurements using Random Fourier Expansions Laurens Bliek H. Verstraete M. Verhaegen S. Wahls 50 40 0 31 Mar 2016
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Variance Reduction for Faster Non-Convex Optimization Zeyuan Allen-Zhu Elad Hazan ODL 129 392 0 17 Mar 2016
Unscented Bayesian Optimization for Safe Robot Grasping José Nogueira Ruben Martinez-Cantin Alexandre Bernardino L. Jamone 84 71 0 07 Mar 2016
FLASH: Fast Bayesian Optimization for Data Analytic Pipelines Yuyu Zhang M. T. Bahadori Hang Su Jimeng Sun 67 34 0 20 Feb 2016
Hyperparameter optimization with approximate gradient Fabian Pedregosa 195 451 0 07 Feb 2016
Stratified Bayesian Optimization Saul Toscano-Palmerin P. Frazier 57 5 0 07 Feb 2016
Better safe than sorry: Risky function exploitation through safe optimization Eric Schulz Q. Huys D. Bach M. Speekenbrink Andreas Krause 14 7 0 02 Feb 2016
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On Bayesian index policies for sequential resource allocation E. Kaufmann 196 86 0 06 Jan 2016
DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks Jie Fu Hongyin Luo Jiashi Feng K. H. Low Tat-Seng Chua 96 27 0 05 Jan 2016
Selecting Near-Optimal Learners via Incremental Data Allocation Ashish Sabharwal Horst Samulowitz Gerald Tesauro 94 64 0 31 Dec 2015
A General Framework for Constrained Bayesian Optimization using Information-based Search José Miguel Hernández-Lobato M. Gelbart Ryan P. Adams Matthew W. Hoffman Zoubin Ghahramani 80 167 0 30 Nov 2015
Natural Language Understanding with Distributed Representation Kyunghyun Cho GNN BDL 88 55 0 24 Nov 2015
Stopping criteria for boosting automatic experimental design using real-time fMRI with Bayesian optimization R. Lorenz R. Monti I. Violante Aldo A. Faisal C. Anagnostopoulos R. Leech Giovanni Montana 55 25 0 24 Nov 2015
Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions Amar Shah Zoubin Ghahramani 90 160 0 23 Nov 2015
Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond Chun Kai Ling K. H. Low Patrick Jaillet 92 76 0 21 Nov 2015
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Bayesian inference for spatio-temporal spike-and-slab priors Michael Riis Andersen Aki Vehtari Ole Winther Lars Kai Hansen 117 33 0 15 Sep 2015
Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods J. Dahlin M. Villani Thomas B. Schon 76 6 0 23 Jun 2015
Mondrian Forests for Large-Scale Regression when Uncertainty Matters Balaji Lakshminarayanan Daniel M. Roy Yee Whye Teh UQCV 127 56 0 11 Jun 2015
Approximating Likelihood Ratios with Calibrated Discriminative Classifiers Kyle Cranmer J. Pavez Gilles Louppe 159 227 0 06 Jun 2015
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Bayesian Optimization for Synthetic Gene Design Javier I. González Joseph Longworth D. James Neil D. Lawrence 95 80 0 07 May 2015
Bayesian Policy Reuse Benjamin Rosman Majd Hawasly S. Ramamoorthy OffRL 106 81 0 01 May 2015
The Knowledge Gradient Policy Using A Sparse Additive Belief Model Yan Li Han Liu Warrren B Powell BDL 80 3 0 18 Mar 2015
Differentiating the multipoint Expected Improvement for optimal batch design Sébastien Marmin C. Chevalier D. Ginsbourger 112 52 0 18 Mar 2015
apsis - Framework for Automated Optimization of Machine Learning Hyper Parameters Frederik Diehl Andreas Jauch 32 1 0 10 Mar 2015
Improving the Gaussian Process Sparse Spectrum Approximation by Representing Uncertainty in Frequency Inputs Y. Gal Richard Turner 87 79 0 09 Mar 2015
High Dimensional Bayesian Optimisation and Bandits via Additive Models Kirthevasan Kandasamy J. Schneider Barnabás Póczós 131 356 0 05 Mar 2015
Classification and Bayesian Optimization for Likelihood-Free Inference Michael U. Gutmann J. Corander Ritabrata Dutta Samuel Kaski 32 0 0 19 Feb 2015
Predictive Entropy Search for Bayesian Optimization with Unknown Constraints José Miguel Hernández-Lobato M. Gelbart Matthew W. Hoffman Ryan P. Adams Zoubin Ghahramani 96 153 0 18 Feb 2015
Gaussian Processes for Data-Efficient Learning in Robotics and Control M. Deisenroth Dieter Fox C. Rasmussen 157 697 0 10 Feb 2015
Distributed Gaussian Processes M. Deisenroth Jun Wei Ng GP 114 342 0 10 Feb 2015
Hyper-parameter optimization of Deep Convolutional Networks for object recognition S. Talathi 82 25 0 30 Jan 2015
Differentially Private Bayesian Optimization Matt J. Kusner Jacob R. Gardner Roman Garnett Kilian Q. Weinberger 79 53 0 16 Jan 2015
Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models Michael U. Gutmann J. Corander 232 288 0 14 Jan 2015
Fast and optimal nonparametric sequential design for astronomical observations Justin Yang Xufei Wang P. Protopapas L. Bornn 28 3 0 11 Jan 2015
Bayesian Optimisation for Machine Translation Yishu Miao Ziyun Wang Phil Blunsom 31 2 0 22 Dec 2014
Hierarchical Mixture-of-Experts Model for Large-Scale Gaussian Process Regression Jun Wei Ng M. Deisenroth 82 51 0 09 Dec 2014
Big Learning with Bayesian Methods Jun Zhu Jianfei Chen Wenbo Hu Bo Zhang BDL 544 84 0 24 Nov 2014
Heteroscedastic Treed Bayesian Optimisation Yannis Assael Ziyun Wang Bobak Shahriari Nando de Freitas 89 48 0 27 Oct 2014
Automated Machine Learning on Big Data using Stochastic Algorithm Tuning T. Nickson Michael A. Osborne S. Reece Stephen J. Roberts 80 25 0 30 Jul 2014
Robots that can adapt like animals Antoine Cully Jeff Clune Danesh Tarapore Jean-Baptiste Mouret 144 1,040 0 13 Jul 2014