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Surrogate Modeling for Bayesian Optimization Beyond a Single Gaussian Process
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Surrogate Modeling for Bayesian Optimization Beyond a Single Gaussian Process (2023)Surrogate Modeling for Bayesian Optimizat…Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020 (2021)Bayesian Optimization is Supe…Efficient high dimensional Bayesian optimization with additivity and quadrature Fourier features (2019)Efficient high dimensional Ba…Parallelised Bayesian Optimisation via Thompson Sampling (2018)Parallelised Bayesian Optimis…A Tutorial on Bayesian Optimization (2018)A Tutorial on Bayesian Optimi…Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space (2017)Parallel and Distributed Thom…On Kernelized Multi-armed Bandits (2017)On Kernelized Multi-armed Ban…Max-value Entropy Search for Efficient Bayesian Optimization (2017)Max-value Entropy Search for …Batched Large-scale Bayesian Optimization in High-dimensional Spaces (2017)Batched Large-scale Bayesian …Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Taking the Human Out of the L…Learning to Optimize via Posterior Sampling (2014)Learning to Optimize via Post…Practical Bayesian Optimization of Machine Learning Algorithms (2012)Practical Bayesian Optimizati…Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization (2012)Parallelizing Exploration-Exp…Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Information-Theoretic Regret …Portfolio allocation for Bayesian optimization (2011)Portfolio allocation for Baye…An Empirical Evaluation of Thompson Sampling (2011)An Empirical Evaluation of Th…Portfolio Allocation for Bayesian Optimization (2010)Portfolio Allocation for Baye…Imprecise Bayesian optimization (2024)Imprecise Bayesian optimizati…Multi-Armed Bandit Allocation Indices. (1990)Finite-time Analysis of the Multiarmed Bandit Problem (2002)Some aspects of the sequential design of experiments (1952)Parallel Gaussian process optimization with upper confidence bound and pure exploration (2013)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)A Tutorial on Thompson Sampling (2018)A unified framework for stochastic optimization (2018)Online Decision Making with High-Dimensional Covariates (2019)Design and Analysis of Computer Experiments (1989)Bayesian Optimization (2018)Bayesian Optimization for Adaptive Experimental Design: A Review (2020)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)Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret (2019)Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound (2019)A Stochastic Approximation Method (1951)High-dimensional Bayesian optimization using low-dimensional feature spaces (2020)A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning (2010)Bandit Algorithms (2020)Model-Based Geostatistics (1998)Prediction, Learning, and Games (2006)Bayesian Optimisation for informative continuous path planning (2014)A Global Bayesian Optimization Algorithm and Its Application to Integrated System Design (2018)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Fair Bayesian Optimization (2021)Greed Is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation (2021)Modern Bayesian Experimental Design (2024)
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References

  • 2012Practical Bayesian Optimization of Machine Learning Algorithms6,690 cited
  • 2015Taking the Human Out of the Loop: A Review of Bayesian Optimization6,126 cited
  • 2012Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting2,098 cited
  • 2018A Tutorial on Bayesian Optimization1,422 cited
  • 2011An Empirical Evaluation of Thompson Sampling1,000 cited
  • 2014Learning to Optimize via Posterior Sampling494 cited
  • 2012Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization340 cited
  • 2017Max-value Entropy Search for Efficient Bayesian Optimization211 cited
  • 2017On Kernelized Multi-armed Bandits184 cited
  • 2011Portfolio allocation for Bayesian optimization160 cited
  • 2021Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020158 cited
  • 2018Parallelised Bayesian Optimisation via Thompson Sampling145 cited
  • 2017Batched Large-scale Bayesian Optimization in High-dimensional Spaces114 cited
  • 2019Efficient high dimensional Bayesian optimization with additivity and quadrature Fourier features91 cited
  • 2010Portfolio Allocation for Bayesian Optimization

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89 cited
  • 2017Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space89 cited
  • Cited by

    • 2024Imprecise Bayesian optimization33 cited