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Batched Large-scale Bayesian Optimization in High-dimensional Spaces
8 references·8 citing·31 second hop
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this work references cited by second hop

References

  • 1964A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise1,084 cited
  • 2012Entropy search for information-efficient global optimization456 cited
  • 2016Bayesian Optimization in a Billion Dimensions via Random Embeddings392 cited
  • 2014Predictive Entropy Search for Efficient Global Optimization of Black-box Functions369 cited
  • 2012Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization340 cited
  • 2015Batch Bayesian Optimization via Local Penalization212 cited
  • 2015High Dimensional Bayesian Optimisation and Bandits via Additive Models159 cited
  • 2013Parallel Gaussian process optimization with upper confidence bound and pure exploration144 cited

Cited by

  • 2019Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly98 cited
  • 2019A Framework for Bayesian Optimization in Embedded Subspaces73 cited
  • 2021Bayesian Optimization in High-Dimensional Spaces: A Brief Survey73 cited
  • 2023Surrogate Modeling for Bayesian Optimization Beyond a Single Gaussian Process65 cited
  • 2020Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search60 cited
  • 2020Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization

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44 cited
  • 2019Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret41 cited
  • 2023A Bayesian Optimization Approach for Calibrating Large-Scale Activity-Based Transport Models18 cited