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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High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning Antoine Grosnit Rasul Tutunov A. Maraval Ryan-Rhys Griffiths Alexander I. Cowen-Rivers ... Wenlong Lyu Zhitang Chen Jun Wang Jan Peters Haitham Bou-Ammar BDL DRL 101 61 0 07 Jun 2021
BO-DBA: Query-Efficient Decision-Based Adversarial Attacks via Bayesian Optimization Zhuosheng Zhang Shucheng Yu AAML 46 1 0 04 Jun 2021
A Machine Learning and Computer Vision Approach to Rapidly Optimize Multiscale Droplet Generation Alexander E. Siemenn Evyatar Shaulsky Matthew Beveridge Tonio Buonassisi S. Hashmi Iddo Drori 64 37 0 28 May 2021
Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains Qiaohao Liang Aldair E. Gongora Zekun Ren A. Tiihonen Zhe Liu ... K. Hippalgaonkar Benji Maruyama Keith A. Brown John W Fisher Iii Tonio Buonassisi 72 124 0 23 May 2021
Lookahead Acquisition Functions for Finite-Horizon Time-Dependent Bayesian Optimization and Application to Quantum Optimal Control Sudharshan Ashwin Renganathan Jeffrey Larson Stefan M. Wild 52 7 0 20 May 2021
DistTune: Distributed Fine-Grained Adaptive Traffic Speed Prediction for Growing Transportation Networks Ming-Chang Lee Jia-Chun Lin Ernst Gunnar Gran AI4TS 43 0 0 19 May 2021
Fast Game Content Adaptation Through Bayesian-based Player Modelling Miguel González Duque Rasmus Berg Palm S. Risi 59 11 0 18 May 2021
Online Preconditioning of Experimental Inkjet Hardware by Bayesian Optimization in Loop Alexander E. Siemenn Matthew Beveridge Tonio Buonassisi Iddo Drori 15 0 0 06 May 2021
Implicit differentiation for fast hyperparameter selection in non-smooth convex learning Quentin Bertrand Quentin Klopfenstein Mathurin Massias Mathieu Blondel Samuel Vaiter Alexandre Gramfort Joseph Salmon 99 28 0 04 May 2021
Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization Julia Guerrero-Viu Sven Hauns Sergio Izquierdo Guilherme Miotto Simon Schrodi André Biedenkapp T. Elsken Difan Deng Marius Lindauer Frank Hutter AI4CE 81 27 0 03 May 2021
How Bayesian Should Bayesian Optimisation Be? George De Ath Richard Everson J. Fieldsend 65 6 0 03 May 2021
One-parameter family of acquisition functions for efficient global optimization T. Kanazawa 54 2 0 26 Apr 2021
Safe Chance Constrained Reinforcement Learning for Batch Process Control M. Mowbray Panagiotis Petsagkourakis Ehecatl Antonio del Rio Chanona Dongda Zhang OffRL 71 37 0 23 Apr 2021
Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure Samuel Kim Peter Y. Lu Charlotte Loh Jamie Smith Jasper Snoek M. Soljavcić BDL AI4CE 393 17 0 23 Apr 2021
AdaptiFont: Increasing Individuals' Reading Speed with a Generative Font Model and Bayesian Optimization Florian Kadner Yannik Keller Constantin Rothkopf 77 34 0 21 Apr 2021
Inverse Bayesian Optimization: Learning Human Acquisition Functions in an Exploration vs Exploitation Search Task N. Sandholtz Yohsuke R. Miyamoto L. Bornn Maurice A. Smith 155 8 0 16 Apr 2021
Boltzmann Tuning of Generative Models Victor Berger Michele Sebag 55 0 0 12 Apr 2021
Graph Neural Networks Based Detection of Stealth False Data Injection Attacks in Smart Grids Osman Boyaci A. Umunnakwe A. Sahu M. Narimani Muhammad Ismail K. Davis E. Serpedin 74 92 0 05 Apr 2021
PixelTransformer: Sample Conditioned Signal Generation Shubham Tulsiani Abhinav Gupta 76 17 0 29 Mar 2021
FixNorm: Dissecting Weight Decay for Training Deep Neural Networks Yucong Zhou Yunxiao Sun Zhaobai Zhong 86 6 0 29 Mar 2021
On Preference Learning Based on Sequential Bayesian Optimization with Pairwise Comparison T. Ignatenko K. Kondrashov M.G.H. Cox Bert De Vries 15 5 0 24 Mar 2021
FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning Minxue Tang Xuefei Ning Yitu Wang Jingwei Sun Yu Wang H. Li Yiran Chen FedML 89 86 0 24 Mar 2021
Efficient Bayesian Optimization using Multiscale Graph Correlation T. Kanazawa 62 2 0 17 Mar 2021
Piecewise linear regression and classification Alberto Bemporad 60 4 0 10 Mar 2021
Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm Bin Gu Guodong Liu Yanfu Zhang Xiang Geng Heng-Chiao Huang 111 20 0 17 Feb 2021
BORE: Bayesian Optimization by Density-Ratio Estimation Louis C. Tiao Aaron Klein Matthias Seeger Edwin V. Bonilla Cédric Archambeau F. Ramos 91 29 0 17 Feb 2021
Muddling Labels for Regularization, a novel approach to generalization Karim Lounici Katia Méziani Benjamin Riu OOD 56 1 0 17 Feb 2021
Using Distance Correlation for Efficient Bayesian Optimization T. Kanazawa 75 3 0 17 Feb 2021
Derivative-Free Reinforcement Learning: A Review Hong Qian Yang Yu OffRL 142 42 0 10 Feb 2021
Explaining Inference Queries with Bayesian Optimization Brandon Lockhart Jinglin Peng Weiyuan Wu Jiannan Wang Eugene Wu 69 8 0 10 Feb 2021
Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics A. Racca Luca Magri OOD AAML 52 65 0 09 Feb 2021
Uncertainty quantification and exploration-exploitation trade-off in humans Antonio Candelieri Andrea Ponti Francesco Archetti 79 4 0 05 Feb 2021
Optimised one-class classification performance O. Lenz Daniel Peralta Chris Cornelis 53 4 0 04 Feb 2021
A Neurorobotic Embodiment for Exploring the Dynamical Interactions of a Spiking Cerebellar Model and a Robot Arm During Vision-based Manipulation Tasks Omar Zahra D. Navarro-Alarcon Silvia Tolu 85 15 0 03 Feb 2021
Apollo: Transferable Architecture Exploration Amir Yazdanbakhsh Christof Angermueller Berkin Akin Yanqi Zhou Albin Jones Milad Hashemi Kevin Swersky S. Chatterjee Ravi Narayanaswami James Laudon 72 26 0 02 Feb 2021
Scaffolded Learning of In-place Trotting Gait for a Quadruped Robot with Bayesian Optimization Keyan Zhai Chuanjiang Li A. Rosendo 21 2 0 25 Jan 2021
Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art Youngmin Kim Richard Allmendinger Manuel López-Ibánez OffRL 458 27 0 23 Jan 2021
A New Knowledge Gradient-based Method for Constrained Bayesian Optimization Wenjie Chen Shengcai Liu Ke Tang 52 7 0 20 Jan 2021
Meta-Reinforcement Learning for Adaptive Motor Control in Changing Robot Dynamics and Environments Timothée Anne Jack Wilkinson Zhibin Li 80 1 0 19 Jan 2021
TREGO: a Trust-Region Framework for Efficient Global Optimization Youssef Diouane Victor Picheny Rodolophe Le Riche Alexandre Scotto Di Perrotolo 80 36 0 18 Jan 2021
Good practices for Bayesian Optimization of high dimensional structured spaces E. Siivola Javier I. González Andrei Paleyes Aki Vehtari 93 38 0 31 Dec 2020
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning D. Kedziora Katarzyna Musial Bogdan Gabrys 94 17 0 23 Dec 2020
Rapidly adapting robot swarms with Swarm Map-based Bayesian Optimisation David M. Bossens Danesh Tarapore 30 9 0 21 Dec 2020
An Information-Theoretic Framework for Unifying Active Learning Problems Q. Nguyen Bryan Kian Hsiang Low Patrick Jaillet 53 18 0 19 Dec 2020
Top- $k$ Ranking Bayesian Optimization Q. Nguyen Sebastian Shenghong Tay Bryan Kian Hsiang Low Patrick Jaillet 88 22 0 19 Dec 2020
Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization Valerio Perrone Huibin Shen Aida Zolic I. Shcherbatyi Amr Ahmed ... Barbara Pogorzelska Miroslav Miladinovic K. Kenthapadi Matthias Seeger Cédric Archambeau 99 16 0 15 Dec 2020
Better call Surrogates: A hybrid Evolutionary Algorithm for Hyperparameter optimization Subhodip Biswas Adam D. Cobb Andreea Sistrunk Naren Ramakrishnan Brian Jalaian 59 8 0 11 Dec 2020
LSTM recurrent neural network assisted aircraft stall prediction for enhanced situational awareness Tahsin Sejat Saniat Tahiat Goni S. Galib DRL 26 1 0 09 Dec 2020
Quality-Diversity Optimization: a novel branch of stochastic optimization Konstantinos Chatzilygeroudis Antoine Cully Vassilis Vassiliades Jean-Baptiste Mouret 131 95 0 08 Dec 2020
Bayesian optimization assisted unsupervised learning for efficient intra-tumor partitioning in MRI and survival prediction for glioblastoma patients Yifan Li Chao Li S. Price Carola-Bibiane Schönlieb Xi Chen 44 0 0 05 Dec 2020