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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$"I can assure you [$\ldots$] that it's going to be all right" -- A definition, case for, and survey of algorithmic assurances in human-autonomy trust relationships$ "I can assure you [ $\ldots$ ] that it's going to be all right" -- A definition, case for, and survey of algorithmic assurances in human-autonomy trust relationships Brett W. Israelsen 18 0 0 01 Aug 2017
Learning to select data for transfer learning with Bayesian Optimization Sebastian Ruder Barbara Plank 107 188 0 17 Jul 2017
Open Loop Hyperparameter Optimization and Determinantal Point Processes Jesse Dodge Catrìona Anderson Noah A. Smith 54 2 0 06 Jun 2017
One button machine for automating feature engineering in relational databases Hoang Thanh Lam Johann-Michael Thiebaut M. Sinn Bei Chen Tiep Mai Öznur Alkan 75 95 0 01 Jun 2017
Open-Category Classification by Adversarial Sample Generation Yang Yu Wei-Yang Qu Nan Li Zimin Guo VLM GAN 73 83 0 24 May 2017
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Practical Bayesian Optimization for Model Fitting with Bayesian Adaptive Direct Search Luigi Acerbi Wei Ji 77 223 0 11 May 2017
Differential Evolution and Bayesian Optimisation for Hyper-Parameter Selection in Mixed-Signal Neuromorphic Circuits Applied to UAV Obstacle Avoidance Llewyn Salt David Howard Giacomo Indiveri Yulia Sandamirskaya 32 4 0 17 Apr 2017
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Efficient Benchmarking of Algorithm Configuration Procedures via Model-Based Surrogates Katharina Eggensperger Marius Lindauer Holger H. Hoos Frank Hutter Kevin Leyton-Brown 54 7 0 30 Mar 2017
Hierarchical Surrogate Modeling for Illumination Algorithms Alexander Hagg 22 2 0 29 Mar 2017
Inverse Reinforcement Learning from Summary Data A. Kangasrääsiö Samuel Kaski OffRL 55 15 0 28 Mar 2017
Adaptive Simulation-based Training of AI Decision-makers using Bayesian Optimization Brett W. Israelsen Nisar R. Ahmed Kenneth Center R. Green W. Bennett 26 1 0 27 Mar 2017
Gaussian Processes with Context-Supported Priors for Active Object Localization A. Rhodes Jordan M. Witte Melanie Mitchell Bruno Jedynak GP 27 2 0 25 Mar 2017
Black-Box Optimization in Machine Learning with Trust Region Based Derivative Free Algorithm Hiva Ghanbari K. Scheinberg TPM 70 26 0 20 Mar 2017
Multi-fidelity Bayesian Optimisation with Continuous Approximations Kirthevasan Kandasamy Gautam Dasarathy J. Schneider Barnabás Póczós 76 221 0 18 Mar 2017
Budgeted Batch Bayesian Optimization With Unknown Batch Sizes Vu Nguyen Santu Rana Sunil R. Gupta Cheng Li Svetha Venkatesh 55 9 0 15 Mar 2017
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Sequential Bayesian Optimisation as a POMDP for Environment Monitoring with UAVs Philippe Morere Román Marchant F. Ramos 58 55 0 13 Mar 2017
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 178 413 0 06 Mar 2017
Approximate Computational Approaches for Bayesian Sensor Placement in High Dimensions Xiaoyan Lin Asif J. Chowdhury Xiao Fan Wang G. Terejanu 42 15 0 01 Mar 2017
Occupancy Map Building through Bayesian Exploration Gilad Francis Lionel Ott Román Marchant F. Ramos 81 22 0 01 Mar 2017
Data-Efficient Exploration, Optimization, and Modeling of Diverse Designs through Surrogate-Assisted Illumination Adam Gaier A. Asteroth Jean-Baptiste Mouret 108 48 0 13 Feb 2017
Adaptive and Resilient Soft Tensegrity Robots John Rieffel Jean-Baptiste Mouret 55 5 0 10 Feb 2017
Query Efficient Posterior Estimation in Scientific Experiments via Bayesian Active Learning Kirthevasan Kandasamy J. Schneider Barnabás Póczós 79 29 0 03 Feb 2017
Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WEKA Manuel Martin Salvador M. Budka Bogdan Gabrys TPM 38 25 0 28 Dec 2016
Towards Adaptive Training of Agent-based Sparring Partners for Fighter Pilots Brett W. Israelsen Nisar R. Ahmed Kenneth Center R. Green W. Bennett 43 8 0 13 Dec 2016
Factored Contextual Policy Search with Bayesian Optimization Peter Karkus A. Kupcsik David Hsu Wee Sun Lee OffRL 83 10 0 06 Dec 2016
Limbo: A Fast and Flexible Library for Bayesian Optimization Antoine Cully Konstantinos Chatzilygeroudis Federico Allocati Jean-Baptiste Mouret 84 18 0 22 Nov 2016
Bayesian optimization of hyper-parameters in reservoir computing J. Yperman Thijs Becker TPM 74 32 0 16 Nov 2016
Learning to Learn without Gradient Descent by Gradient Descent Yutian Chen Matthew W. Hoffman Sergio Gomez Colmenarejo Misha Denil Timothy Lillicrap Matt Botvinick Nando de Freitas 87 42 0 11 Nov 2016
Gaussian process modeling in approximate Bayesian computation to estimate horizontal gene transfer in bacteria Marko Jarvenpaa Michael U. Gutmann Aki Vehtari Pekka Marttinen 212 41 0 20 Oct 2016
Sample Efficient Optimization for Learning Controllers for Bipedal Locomotion Rika Antonova Akshara Rai C. Atkeson 78 30 0 15 Oct 2016
Towards semi-episodic learning for robot damage recovery Konstantinos Chatzilygeroudis Antoine Cully Jean-Baptiste Mouret 54 6 0 05 Oct 2016
Funneled Bayesian Optimization for Design, Tuning and Control of Autonomous Systems Ruben Martinez-Cantin 94 42 0 02 Oct 2016
Efficient batch-sequential Bayesian optimization with moments of truncated Gaussian vectors Sébastien Marmin C. Chevalier D. Ginsbourger 42 13 0 09 Sep 2016
GTApprox: surrogate modeling for industrial design Mikhail Belyaev Evgeny Burnaev Ermek Kapushev Maxim Panov P. Prikhodko Dmitry Vetrov Dmitry Yarotsky 47 50 0 05 Sep 2016
Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints Daniel Hernández-Lobato Daniel Hernández-Lobato 91 112 0 05 Sep 2016
Learning an Optimization Algorithm through Human Design Iterations Thurston Sexton Max Yi Ren 88 20 0 24 Aug 2016
Warm Starting Bayesian Optimization Matthias Poloczek Jialei Wang P. Frazier 110 61 0 11 Aug 2016
Focused Model-Learning and Planning for Non-Gaussian Continuous State-Action Systems Zi Wang Stefanie Jegelka L. Kaelbling Tomás Lozano-Pérez 93 17 0 26 Jul 2016
Global Continuous Optimization with Error Bound and Fast Convergence Kenji Kawaguchi Y. Maruyama Xiaoyu Zheng 59 24 0 17 Jul 2016
Multi-Step Bayesian Optimization for One-Dimensional Feasibility Determination J. M. Cashore Lemuel Kumarga P. Frazier 60 7 0 11 Jul 2016
Personalized Optimization for Computer Experiments with Environmental Inputs Shifeng Xiong 27 0 0 06 Jul 2016
Learning to Optimize Ke Li Jitendra Malik 70 258 0 06 Jun 2016
Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian Victor Picheny R. Gramacy Stefan M. Wild Sébastien Le Digabel 48 94 0 31 May 2016
On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems Pei-hao Su Milica Gasic N. Mrksic L. Rojas-Barahona Stefan Ultes David Vandyke Tsung-Hsien Wen S. Young OffRL 97 170 0 24 May 2016
Alternating Optimisation and Quadrature for Robust Control Supratik Paul Konstantinos Chatzilygeroudis K. Ciosek Jean-Baptiste Mouret Michael A. Osborne Shimon Whiteson 58 6 0 24 May 2016
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets Aaron Klein Stefan Falkner Simon Bartels Philipp Hennig Frank Hutter AI4CE 98 553 0 23 May 2016
Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in Climate Datasets Yunjie Liu Evan Racah P. Prabhat Joaquin Correa A. Khosrowshahi D. Lavers K. Kunkel M. Wehner W. Collins AI4Cl 94 353 0 04 May 2016