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Bayesian Optimization · Study

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ChapterBayesian Optimization

Peter I. Frazier2018

Chapter2018

Bayesian Optimization

Peter I. Frazier

887 citations·0/0 files stored

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Advanced Bandit Algorithms Research Advanced Multi-Objective Optimization Algorithms Gaussian Processes and Bayesian Inference

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 887 citations exist upstream.

References

1951A Stochastic Approximation Method 2015Taking the Human Out of the Loop: A Review of Bayesian Optimization 2010A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning 1964A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise

Cited by

2023Recent Advances in Bayesian Optimization 2022A Survey on High-dimensional Gaussian Process Modeling with Application to Bayesian Optimization 2024Predictions of steel price indices through machine learning for the regional northeast Chinese market 2024Forecasts of thermal coal prices through Gaussian process regressions 2021Stochastic optimization for vaccine and testing kit allocation for the COVID-19 pandemic 2019Sequential model based optimization of partially defined functions under unknown constraints 2024On active learning for Gaussian process-based global sensitivity analysis 2023Supply Chain 4.0: A Machine Learning-Based Bayesian-Optimized LightGBM Model for Predicting Supply Chain Risk

Details

Year2018

Typechapter

Published2018-10-01

Languageen

Citations887

Files0 public / 0

ShelfAdvanced Bandit Algorithms Research

Identifiers

doi10.1287/educ.2018.0188

openalex_workW4238746485

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