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Bayesian Optimization Meets Bayesian Optimal Stopping · Study

WorkBayesian Optimization Meets Bayesian Optimal Stopping

Zhongxiang Dai2019

Work2019

Bayesian Optimization Meets Bayesian Optimal Stopping

Zhongxiang Dai · Haibin Yu · Bryan Kian Hsiang Low · Patrick Jaillet

28 citations·0/0 files stored·International Conference on Machine Learning

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Advanced Bandit Algorithms Research Simulation Techniques and Applications Optimization and Search Problems

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References

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 2012Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting 2016Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization 2014Freeze-Thaw Bayesian Optimization 2016Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond 2017Distributed Batch Gaussian Process Optimization 2011Good timing: The economics of optimal stopping

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Year2019

Typeother

Published2019-05-24

VenueInternational Conference on Machine Learning

Languageen

Citations28

Files0 public / 0

ShelfAdvanced Bandit Algorithms Research

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openalex_workW2945703040

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