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Imprecise Bayesian optimization
11 references·0 citing·34 second hop
Imprecise Bayesian optimization (2024)Imprecise Bayesian optimizationSurrogate Modeling for Bayesian Optimization Beyond a Single Gaussian Process (2023)Surrogate Modeling for Bayesi…Greed Is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation (2021)Greed Is Good: Exploration an…Bayesian Optimization for Accelerating Hyper-Parameter Tuning (2019)Bayesian Optimization for Acc…A Framework for Bayesian Optimization in Embedded Subspaces (2019)A Framework for Bayesian Opti…A flexible transfer learning framework for Bayesian optimization with convergence guarantee (2018)A flexible transfer learning …On Kernelized Multi-armed Bandits (2017)On Kernelized Multi-armed Ban…mlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions (2017)mlrMBO: A Modular Framework f…Bayesian optimization with robust Bayesian neural networks (2016)Bayesian optimization with ro…Practical Bayesian Optimization of Machine Learning Algorithms (2012)Practical Bayesian Optimizati…Entropy search for information-efficient global optimization (2012)Entropy search for informatio…A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code (2000)A Comparison of Three Methods…On stochastic differential equations (1951)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Predictive Entropy Search for Efficient Global Optimization of Black-box Functions (2014)Bayesian Optimization in a Billion Dimensions via Random Embeddings (2016)A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning (2010)Scalable Bayesian Optimization Using Deep Neural Networks (2015)Efficient Hyperparameter Optimization and Infinitely Many Armed Bandits (2017)Scalable Hyperparameter Transfer Learning (2018)Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly (2019)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)mlrMBO: Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions (2017)OpenML: An R package to connect to the machine learning platform OpenML (2017)A Gentle Introduction to Bayesian Optimization (2021)A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise (1964)Analysis of Thompson Sampling for the multi-armed bandit problem (2011)Thompson Sampling for Contextual Bandits with Linear Payoffs (2012)Stagewise Safe Bayesian Optimization with Gaussian Processes (2018)Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound (2019)Multi-Task Bayesian Optimization (2013)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets (2016)Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search (2020)Bayesian Optimization in High-Dimensional Spaces: A Brief Survey (2021)Investigating Bayesian optimization for expensive-to-evaluate black box functions: Application in fluid dynamics (2022)The Nonstochastic Multiarmed Bandit Problem (2002)Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB (2024)Optimization of Wearable Biosensor Data for Stress Classification Using Machine Learning and Explainable AI (2024)A Tutorial on Bayesian Optimization (2018)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Revisiting Bayesian optimization in the light of the COCO benchmark (2021)On the use of Wasserstein distance in the distributional analysis of human decision making under uncertainty (2022)Hybrid simulation–optimization methods: A taxonomy and discussion (2014)Time-dependent reliability of aging structures in the presence of non-stationary loads and degradation (2014)Design of computer experiments: A review (2017)
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References

  • 2012Practical Bayesian Optimization of Machine Learning Algorithms6,690 cited
  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code2,856 cited
  • 2012Entropy search for information-efficient global optimization456 cited
  • 2016Bayesian optimization with robust Bayesian neural networks274 cited
  • 2019Bayesian Optimization for Accelerating Hyper-Parameter Tuning190 cited
  • 2017On Kernelized Multi-armed Bandits184 cited
  • 2017mlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions128 cited
  • 2021Greed Is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation126 cited
  • 2019A Framework for Bayesian Optimization in Embedded Subspaces73 cited
  • 2023Surrogate Modeling for Bayesian Optimization Beyond a Single Gaussian Process65 cited
  • 2018A flexible transfer learning framework for Bayesian optimization with convergence guarantee58 cited

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