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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CompModels: A suite of computer model test functions for Bayesian optimization Tony Pourmohamad 55 5 0 20 Nov 2020
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A primer on model-guided exploration of fitness landscapes for biological sequence design Sam Sinai Eric D. Kelsic 81 30 0 04 Oct 2020
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Bayesian optimization for automatic design of face stimuli P. F. D. Costa R. Lorenz R. Monti E. Jones R. Leech CVBM 26 0 0 20 Jul 2020
Fair Algorithms for Multi-Agent Multi-Armed Bandits Safwan Hossain Evi Micha Nisarg Shah FaML 69 49 0 13 Jul 2020
Resource Aware Multifidelity Active Learning for Efficient Optimization Francesco Grassi Giorgio Manganini Michele Garraffa L. Mainini 68 6 0 09 Jul 2020
Auto-CASH: Autonomous Classification Algorithm Selection with Deep Q-Network Tianyu Mu Hongzhi Wang Chunnan Wang Zheng Liang 31 1 0 07 Jul 2020
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search Linnan Wang Rodrigo Fonseca Yuandong Tian 113 128 0 01 Jul 2020
Fast and Low-cost Search for Efficient Cloud Configurations for HPC Workloads V. M. Rosário Thais A. Silva Camacho O. O. Napoli E. Borin 26 5 0 28 Jun 2020
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Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization Xingchen Ma Matthew B. Blaschko 75 7 0 21 Jun 2020
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