Pages that link to "Item:Q5146731"
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The following pages link to Bayesian and High-Dimensional Global Optimization (Q5146731):
Displaying 13 items.
- Bayesian optimization and genericity (Q1267198) (← links)
- Scalability of the Bayesian optimization algorithm. (Q1399504) (← links)
- Posterior exploration based sequential Monte Carlo for global optimization (Q1685582) (← links)
- High-dimensional optimization and probability. With a view towards data science (Q2139903) (← links)
- Efficient quantisation and weak covering of high dimensional cubes (Q2167316) (← links)
- Combining Bayesian optimization and Lipschitz optimization (Q2303661) (← links)
- Bayesian Monte Carlo for the Global Optimization of Expensive Functions (Q2999144) (← links)
- A hybrid of Bayesian-based global search with Hooke–Jeeves local refinement for multi-objective optimization problems (Q5080393) (← links)
- Improving exploration strategies in large dimensions and rate of convergence of global random search algorithms (Q6183083) (← links)
- Numerical methods using two different approximations of space-filling curves for black-box global optimization (Q6200380) (← links)
- On asymptotic convergence rate of random search (Q6497037) (← links)
- Determining solution set of nonlinear inequalities using space-filling curves for finding working spaces of planar robots (Q6541382) (← links)
- On exponential convergence of random variables (Q6615576) (← links)
