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Exploration Enhanced Expected Improvement for Bayesian Optimization
9 references·0 citing·29 second hop
Exploration Enhanced Expected Improvement for Bayesian Optimization (2019)Exploration Enhanced Expected Improvement…Max-value Entropy Search for Efficient Bayesian Optimization (2017)Max-value Entropy Search for …On the Convergence Rates of Expected Improvement Methods (2016)On the Convergence Rates of E…Predictive Entropy Search for Efficient Global Optimization of Black-box Functions (2014)Predictive Entropy Search for…Practical Bayesian Optimization of Machine Learning Algorithms (2012)Practical Bayesian Optimizati…Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Information-Theoretic Regret …Convergence rates of efficient global optimization algorithms (2011)Convergence rates of efficien…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…Practical Bayesian optimization (2008)Practical Bayesian optimizati…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 …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)Simulation Budget Allocation for Further Enhancing the Efficiency of Ordinal Optimization (2000)A Knowledge-Gradient Policy for Sequential Information Collection (2008)Learning to Optimize via Posterior Sampling (2014)Parallel Ranking and Selection (2017)Ranking and Selection as Stochastic Control (2018)Some aspects of the sequential design of experiments (1952)Finite-time Analysis of the Multiarmed Bandit Problem (2002)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)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)A General Framework for Constrained Bayesian Optimization using Information-based Search (2015)Constrained Bayesian Optimization with Noisy Experiments (2018)Dealing with categorical and integer-valued variables in Bayesian Optimization with Gaussian processes (2019)Portfolio allocation for Bayesian optimization (2011)Bayesian optimisation for Intelligent Environmental Monitoring (2012)Predictive Entropy Search for Efficient Global Optimization of Black-box Functions (2014)Greed Is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation (2021)Surrogate Modeling for Bayesian Optimization Beyond a Single Gaussian Process (2023)Modern Bayesian Experimental Design (2024)Bayesian Optimization in a Billion Dimensions via Random Embeddings (2016)Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics (2021)
this work references cited by second hop

References

  • 2012Practical Bayesian Optimization of Machine Learning Algorithms6,690 cited
  • 2012Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting2,098 cited
  • 2010A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning2,053 cited
  • 1964A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise1,084 cited
  • 2011Convergence rates of efficient global optimization algorithms454 cited
  • 2014Predictive Entropy Search for Efficient Global Optimization of Black-box Functions369 cited
  • 2008Practical Bayesian optimization222 cited
  • 2017Max-value Entropy Search for Efficient Bayesian Optimization211 cited
  • 2016On the Convergence Rates of Expected Improvement Methods98 cited

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