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An Efficient Asynchronous Batch Bayesian Optimization Approach for Analog Circuit Synthesis
8 references·0 citing·27 second hop
An Efficient Asynchronous Batch Bayesian Optimization Approach for Analog Circuit Synthesis (2020)An Efficient Asynchronous Batch Bayesian …Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Taking the Human Out of the L…Batch Bayesian Optimization via Local Penalization (2015)Batch Bayesian Optimization v…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 …Entropy search for information-efficient global optimization (2012)Entropy search for informatio…Portfolio allocation for Bayesian optimization (2011)Portfolio allocation for Baye…Portfolio Allocation for Bayesian Optimization (2010)Portfolio Allocation for Baye…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 stochastic differential equations (1951)Predictive Entropy Search for Efficient Global Optimization of Black-box Functions (2014)Bayesian Optimization in a Billion Dimensions via Random Embeddings (2016)Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets (2016)Model-Based Geostatistics (1998)Prediction, Learning, and Games (2006)Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations (2012)A new acquisition function for Bayesian optimization based on the moment-generating function (2017)HEBO: An Empirical Study of Assumptions in Bayesian Optimisation (2022)Some aspects of the sequential design of experiments (1952)Finite-time Analysis of the Multiarmed Bandit Problem (2002)Parallel Gaussian process optimization with upper confidence bound and pure exploration (2013)Batched Large-scale Bayesian Optimization in High-dimensional Spaces (2017)Parallelised Bayesian Optimisation via Thompson Sampling (2018)Design and Analysis of Computer Experiments (1989)Practical Bayesian Optimization of Machine Learning Algorithms (2012)A Tutorial on Bayesian Optimization (2018)A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning (2010)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Bandit Algorithms (2020)Scalable Bayesian Optimization Using Deep Neural Networks (2015)Bayesian Optimization (2018)Bayesian Optimization for Adaptive Experimental Design: A Review (2020)High-dimensional Bayesian optimization using low-dimensional feature spaces (2020)Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020 (2021)Bayesian Optimisation for informative continuous path planning (2014)A Global Bayesian Optimization Algorithm and Its Application to Integrated System Design (2018)
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References

  • 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
  • 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
  • 2012Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization340 cited
  • 2015Batch Bayesian Optimization via Local Penalization212 cited
  • 2011Portfolio allocation for Bayesian optimization160 cited
  • 2010Portfolio Allocation for Bayesian Optimization89 cited

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