Pages that link to "Item:Q2999144"
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The following pages link to Bayesian Monte Carlo for the Global Optimization of Expensive Functions (Q2999144):
Displaying 8 items.
- Global approximation to arbitrary cost functions: a Bayesian approach with application to US banking (Q299808) (← links)
- Mean-square optimization for global Monte Carlo algorithms (Q600733) (← links)
- Global optimization of expensive-to-evaluate functions: An empirical comparison of two sampling criteria (Q1029699) (← links)
- Posterior exploration based sequential Monte Carlo for global optimization (Q1685582) (← links)
- Efficiently learning the preferences of people (Q1945014) (← links)
- Bounds optimization of model response moments: a twin-engine Bayesian active learning method (Q2039068) (← links)
- Bayesian Optimization with Expensive Integrands (Q5071110) (← links)
- Bayesian Optimization of Expected Quadratic Loss for Multiresponse Computer Experiments with Internal Noise (Q5119634) (← links)