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High Dimensional Bayesian Optimization via Restricted Projection Pursuit Models
6 references·3 citing·26 second hop
High Dimensional Bayesian Optimization via Restricted Projection Pursuit Models (2016)High Dimensional Bayesian Optimization vi…Scalable Bayesian Optimization Using Deep Neural Networks (2015)Scalable Bayesian Optimizatio…High Dimensional Bayesian Optimisation and Bandits via Additive Models (2015)High Dimensional Bayesian Opt…Bayesian optimization in high dimensions via random embeddings (2013)Bayesian optimization in high…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 …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…Bayesian optimization techniques for high-dimensional simulation-based transportation problems (2022)Bayesian optimization techniq…Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization (2020)Re-Examining Linear Embedding…High Dimensional Bayesian Optimization via Supervised Dimension Reduction (2019)High Dimensional Bayesian Opt…A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise (1964)Bayesian optimization with robust Bayesian neural networks (2016)Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets (2016)Dealing with categorical and integer-valued variables in Bayesian Optimization with Gaussian processes (2019)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)Bayesian Optimization (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)Neural Architecture Search with Bayesian Optimisation and Optimal Transport (2018)Multi-Task Bayesian Optimization (2013)BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization (2019)A Proof for the Queuing Formula: L = λ W (1961)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Simulation-based optimization for transportation system analysis: State-of-the-art research and future endeavors (2025)Efficient Hyperparameter Optimization and Infinitely Many Armed Bandits (2017)On Kernelized Multi-armed Bandits (2017)High-dimensional Bayesian optimization using low-dimensional feature spaces (2020)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Batched Large-scale Bayesian Optimization in High-dimensional Spaces (2017)Multi-fidelity Bayesian Optimisation with Continuous Approximations (2017)Parallelised Bayesian Optimisation via Thompson Sampling (2018)
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
  • 2015Scalable Bayesian Optimization Using Deep Neural Networks703 cited
  • 2013Bayesian optimization in high dimensions via random embeddings244 cited
  • 2015High Dimensional Bayesian Optimisation and Bandits via Additive Models159 cited

Cited by

  • 2022Bayesian optimization techniques for high-dimensional simulation-based transportation problems50 cited
  • 2020Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization44 cited
  • 2019High Dimensional Bayesian Optimization via Supervised Dimension Reduction40 cited

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