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High Dimensional Bayesian Optimization via Restricted Projection Pursuit Models · Study

WorkHigh Dimensional Bayesian Optimization via Restricted Projection Pursuit Models

Chunliang Li2016

Work2016

High Dimensional Bayesian Optimization via Restricted Projection Pursuit Models

Chunliang Li · Kirthevasan Kandasamy · Barnabás Póczos · Jeff Schneider

58 citations·0/0 files stored·International Conference on Artificial Intelligence and Statistics

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Advanced Bandit Algorithms Research Optimal Experimental Design Methods Advanced Multi-Objective Optimization Algorithms

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References

2012Practical Bayesian Optimization of Machine Learning Algorithms 2012Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting 2010A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning 2015Scalable Bayesian Optimization Using Deep Neural Networks 2013Bayesian optimization in high dimensions via random embeddings 2015High Dimensional Bayesian Optimisation and Bandits via Additive Models

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2022Bayesian optimization techniques for high-dimensional simulation-based transportation problems 2020Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization 2019High Dimensional Bayesian Optimization via Supervised Dimension Reduction

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Year2016

Typeother

Published2016-05-02

VenueInternational Conference on Artificial Intelligence and Statistics

Languageen

Citations58

Files0 public / 0

ShelfAdvanced Bandit Algorithms Research

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openalex_workW2372373432

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