Single-step Bayesian search method for an extremum of functions of a single variable

By A. Zhilinskas. 1975

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Radwa El Shawi
2. Mohamed Maher
3. Sherif Sakr
4. Peter I. Frazier
5. Warrren B Powell
6. Marc-André Zöller
7. Maximilian Balandat
8. David Eriksson

Citations in the corpus

• Automated Machine Learning: State-of-The-Art and Open Challenges (2019, background): “Bayesian Optimization is one of the state-of-the-art blackbox optimization techniques which is tailored for expensive objective functions [69, 134, 88, 55].”
• A Tutorial on Bayesian Optimization (2018, background): “al models (Shoemaker et al., 2007), and in reinforcement learning (Brochu et al., 2009; Lizotte, 2008; Lizotte et al., 2007). BayesOpt originated with the work of Kushner (Kushner, 1964), Zilinskas (Zilinskas, 1975; Mockus et al., 1978), and Mockus (Mockus, 1975; Mockus, 1989), but received substant”