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Batch Bayesian optimization using multi-scale search
9 references·0 citing·30 second hop
Batch Bayesian optimization using multi-scale search (2019)Batch Bayesian optimization using multi-s…Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization (2016)Hyperband: A Novel Bandit-Bas…Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets (2016)Fast Bayesian Optimization of…Parallel Gaussian process optimization with upper confidence bound and pure exploration (2013)Parallel Gaussian process opt…Practical Bayesian Optimization of Machine Learning Algorithms (2012)Practical Bayesian Optimizati…Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization (2012)Parallelizing Exploration-Exp…Bayesian optimisation for Intelligent Environmental Monitoring (2012)Bayesian optimisation for Int…A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning (2010)A Tutorial on Bayesian Optimi…A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise (1964)A New Method of Locating the …On a Measure of the Information Provided by an Experiment (1956)On a Measure of the Informati…Space and Space-Time Modeling using Process Convolutions (2002)Bayesian Optimisation for informative continuous path planning (2014)Sequential Bayesian Optimisation for Spatial-Temporal Monitoring (2014)A flexible transfer learning framework for Bayesian optimization with convergence guarantee (2018)Design and Analysis of Computer Experiments (1989)Advances in prospect theory: Cumulative representation of uncertainty (1992)The Adaptive Decision Maker (1994)A Tutorial on Bayesian Optimization (2018)Some aspects of the sequential design of experiments (1952)Finite-time Analysis of the Multiarmed Bandit Problem (2002)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Batched Large-scale Bayesian Optimization in High-dimensional Spaces (2017)Parallelised Bayesian Optimisation via Thompson Sampling (2018)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Bayesian optimization with robust Bayesian neural networks (2016)Efficient Hyperparameter Optimization and Infinitely Many Armed Bandits (2017)Neural Architecture Search with Bayesian Optimisation and Optimal Transport (2018)Theory of optimal experiments (1972)Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions (2015)Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space (2017)Scalable Bayesian Optimization Using Deep Neural Networks (2015)Bayesian Optimization (2018)Bayesian Optimization for Adaptive Experimental Design: A Review (2020)Maximum entropy sampling (1987)The Stag Hunt and the Evolution of Social Structure (2003)Signals (2010)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Bandit Algorithms (2020)Survey on Applications of Multi-Armed and Contextual Bandits (2020)Option Return Predictability with Machine Learning and Big Data (2023)
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References

  • 2012Practical Bayesian Optimization of Machine Learning Algorithms6,690 cited
  • 2010A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning2,053 cited
  • 1956On a Measure of the Information Provided by an Experiment1,507 cited
  • 2016Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization1,368 cited
  • 1964A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise1,084 cited
  • 2016Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets425 cited
  • 2012Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization340 cited
  • 2012Bayesian optimisation for Intelligent Environmental Monitoring177 cited
  • 2013Parallel Gaussian process optimization with upper confidence bound and pure exploration144 cited

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