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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On-the-fly Closed-loop Autonomous Materials Discovery via Bayesian Active Learning A. Kusne Heshan Yu Changming Wu Huairuo Zhang J. Hattrick-Simpers ... Ritesh Agarwal L. Bendersky Mo Li Apurva Mehta Ichiro Takeuchi 60 7 0 11 Jun 2020
Adaptation Strategies for Automated Machine Learning on Evolving Data B. Celik Joaquin Vanschoren 64 56 0 09 Jun 2020
Fair Bayesian Optimization Valerio Perrone Michele Donini Muhammad Bilal Zafar Robin Schmucker K. Kenthapadi Cédric Archambeau FaML 85 86 0 09 Jun 2020
Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation Julian Berk Sunil R. Gupta Santu Rana Svetha Venkatesh 67 36 0 08 Jun 2020
Steganography GAN: Cracking Steganography with Cycle Generative Adversarial Networks Nibraas Khan Ruj Haan George Boktor Michael Mccomas Ramin Daneshi GAN 33 3 0 07 Jun 2020
Informative Path Planning for Extreme Anomaly Detection in Environment Exploration and Monitoring A. Blanchard T. Sapsis 89 23 0 20 May 2020
High-dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model Jwala Dhamala S. Ghimire J. Sapp B. Horácek Linwei Wang 43 15 0 15 May 2020
Using Bayesian Optimization to Accelerate Virtual Screening for the Discovery of Therapeutics Appropriate for Repurposing for COVID-19 Edward O. Pyzer-Knapp 47 8 0 11 May 2020
Sequential Gallery for Interactive Visual Design Optimization Yuki Koyama Issei Sato Masataka Goto 75 76 0 08 May 2020
Cross-validation based adaptive sampling for Gaussian process models Hossein Mohammadi P. Challenor D. Williamson M. Goodfellow 87 12 0 04 May 2020
Frugal Optimization for Cost-related Hyperparameters Qingyun Wu Chi Wang Silu Huang 71 1 0 04 May 2020
Time Efficiency in Optimization with a Bayesian-Evolutionary Algorithm Gongjin Lan Jakub M. Tomczak D. Roijers A. E. Eiben 128 83 0 04 May 2020
Human Strategic Steering Improves Performance of Interactive Optimization Fabio Colella Pedram Daee Jussi P. P. Jokinen Antti Oulasvirta Samuel Kaski LLMSV 128 9 0 04 May 2020
Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol Lukas Hedegaard Morsing Omar Ali Sheikh-Omar Alexandros Iosifidis OOD 67 23 0 23 Apr 2020
Bayesian Optimization with Output-Weighted Optimal Sampling A. Blanchard T. Sapsis 52 7 0 22 Apr 2020
Bayesian Optimization of Hyperparameters from Noisy Marginal Likelihood Estimates Oskar Gustafsson M. Villani Pär Stockhammar 23 4 0 21 Apr 2020
What do you Mean? The Role of the Mean Function in Bayesian Optimisation George De Ath J. Fieldsend Richard Everson 49 16 0 17 Apr 2020
The SPDE Approach to Matérn Fields: Graph Representations D. Sanz-Alonso Ruiyi Yang 78 19 0 16 Apr 2020
Combinatorial 3D Shape Generation via Sequential Assembly Jungtaek Kim H. Chung Jinhwi Lee Minsu Cho Jaesik Park 63 21 0 16 Apr 2020
Bayesian optimisation of large-scale photonic reservoir computers P. Antonik N. Marsal Daniel Brunner D. Rontani 123 22 0 06 Apr 2020
Intrinsic Exploration as Multi-Objective RL Philippe Morere F. Ramos 20 1 0 06 Apr 2020
Neural Architecture Generator Optimization Binxin Ru P. Esperança Fabio Maria Carlucci 86 40 0 03 Apr 2020
Parallel Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints E.C. Garrido-Merchán Daniel Hernández-Lobato 70 16 0 01 Apr 2020
Bayesian Hierarchical Multi-Objective Optimization for Vehicle Parking Route Discovery Romit S. Beed Sunita Sarkar Arindam Roy 21 2 0 27 Mar 2020
Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning Sourya Dey Saikrishna C. Kanala K. Chugg Peter A. Beerel 20 4 0 27 Mar 2020
Weighting NTBEA for Game AI Optimisation J. Goodman Simon Lucas 36 2 0 23 Mar 2020
Towards Automatic Bayesian Optimization: A first step involving acquisition functions E.C. Garrido-Merchán Luis C. Jariego Pérez 51 1 0 21 Mar 2020
aphBO-2GP-3B: A budgeted asynchronous parallel multi-acquisition functions for constrained Bayesian optimization on high-performing computing architecture Anh Tran J. Furlan T. Wildey S. McCann K. Pagalthivarthi R. Visintainer 77 9 0 20 Mar 2020
ENTMOOT: A Framework for Optimization over Ensemble Tree Models Alexander Thebelt Jan Kronqvist Miten Mistry Robert M. Lee Nathan Sudermann-Merx Ruth Misener 89 57 0 10 Mar 2020
Quality Diversity for Multi-task Optimization Jean-Baptiste Mouret Glenn Maguire 76 57 0 09 Mar 2020
Supervised Domain Adaptation using Graph Embedding Lukas Hedegaard Omar Ali Sheikh-Omar Alexandros Iosifidis OOD 62 17 0 09 Mar 2020
Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling Cheng Li Sunil R. Gupta Santu Rana Vu Nguyen A. Robles-Kelly Svetha Venkatesh 112 15 0 26 Feb 2020
Implicit differentiation of Lasso-type models for hyperparameter optimization Quentin Bertrand Quentin Klopfenstein Mathieu Blondel Samuel Vaiter Alexandre Gramfort Joseph Salmon 104 66 0 20 Feb 2020
Online Parameter Estimation for Safety-Critical Systems with Gaussian Processes Mouhyemen Khan A. Chatterjee 13 0 0 18 Feb 2020
Reward Design for Driver Repositioning Using Multi-Agent Reinforcement Learning Zhenyu Shou Xuan Di 83 57 0 17 Feb 2020
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization Lukas P. Frohlich Edgar D. Klenske Julia Vinogradska Christian Daniel Melanie Zeilinger 107 38 0 07 Feb 2020
Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits Jack Parker-Holder Vu Nguyen Stephen J. Roberts OffRL 161 86 0 06 Feb 2020
Regret analysis of the Piyavskii-Shubert algorithm for global Lipschitz optimization Clément Bouttier Tommaso Cesari Mélanie Ducoffe Sébastien Gerchinovitz 61 15 0 06 Feb 2020
Black-Box Saliency Map Generation Using Bayesian Optimisation Mamuku Mokuwe Michael G. Burke Anna Sergeevna Bosman FAtt 34 4 0 30 Jan 2020
Discovery of Self-Assembling $π$ -Conjugated Peptides by Active Learning-Directed Coarse-Grained Molecular Simulation Kirill Shmilovich R. Mansbach Hythem Sidky Olivia E. Dunne S. Panda J. Tovar Andrew L. Ferguson 76 79 0 27 Jan 2020
Tuneful: An Online Significance-Aware Configuration Tuner for Big Data Analytics Ayat Fekry Lucian Carata Thomas Pasquier Andrew Rice A. Hopper 96 18 0 22 Jan 2020
Learning Directed Locomotion in Modular Robots with Evolvable Morphologies Gongjin Lan Matteo De Carlo Fuda van Diggelen Jakub M. Tomczak D. Roijers A. E. Eiben 81 49 0 21 Jan 2020
Kalman Filter Tuning with Bayesian Optimization Zhaozhong Chen Nisar R. Ahmed S. Julier Christoffer Heckman 43 13 0 17 Dec 2019
Learning Arbitrary Quantities of Interest from Expensive Black-Box Functions through Bayesian Sequential Optimal Design Piyush Pandita Nimish Awalgaonkar Ilias Bilionis Jitesh H. Panchal 64 1 0 16 Dec 2019
Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection Erik A. Daxberger José Miguel Hernández-Lobato UQCV 103 63 0 11 Dec 2019
Combined Model for Partially-Observable and Non-Observable Task Switching: Solving Hierarchical Reinforcement Learning Problems Statically and Dynamically with Transfer Learning Nibraas Khan Joshua Phillips 22 1 0 23 Nov 2019
Interactive Text Ranking with Bayesian Optimisation: A Case Study on Community QA and Summarisation Edwin Simpson Yang Gao Iryna Gurevych BDL 66 11 0 22 Nov 2019
Bayesian optimization with local search Yuzhou Gao Tengchao Yu Jinglai Li 44 7 0 20 Nov 2019
Multi-Attribute Bayesian Optimization With Interactive Preference Learning Raul Astudillo P. Frazier 82 33 0 14 Nov 2019
AI-optimized detector design for the future Electron-Ion Collider: the dual-radiator RICH case E. Cisbani A. Dotto C. Fanelli Michael Williams M. Alfred ... R. Towell Junqi Xie Zhiwen Zhao B. Zihlmann C. Zorn 66 29 0 13 Nov 2019