Pages that link to "Item:Q5396713"

The following pages link to Convergence rates of efficient global optimization algorithms (Q5396713):

Displaying 50 items.

• A new expected-improvement algorithm for continuous minimax optimization (Q280101) (← links)
• Expected improvement in efficient global optimization through bootstrapped Kriging (Q445325) (← links)
• Improving the convergence rate of the DIRECT global optimization algorithm (Q522279) (← links)
• Training an artificial neural network for recognizing electron collision patterns (Q822558) (← links)
• Random drift particle swarm optimization algorithm: convergence analysis and parameter selection (Q890323) (← links)
• Effect of the subdivision strategy on convergence and efficiency of some global optimization algorithms (Q1177911) (← links)
• Convergence rates of a global optimization algorithm (Q1186279) (← links)
• On the convergence rate issues of general Markov search for global minimum (Q1685583) (← links)
• Gaussian processes for history-matching: application to an unconventional gas reservoir (Q1702365) (← links)
• Gaussian process bandits with adaptive discretization (Q1711556) (← links)
• Constrained Bayesian optimization with noisy experiments (Q1738149) (← links)
• An adaptive univariate global optimization algorithm and its convergence rate for twice continuously differentiable functions (Q1935284) (← links)
• pBO-2GP-3B: a batch parallel known/unknown constrained Bayesian optimization with feasibility classification and its applications in computational fluid dynamics (Q1987855) (← links)
• Datadriven HOPGD based computational vademecum for welding parameter identification (Q1999553) (← links)
• Gaussian process optimization with failures: classification and convergence proof (Q2022175) (← links)
• Expected improvement for expensive optimization: a review (Q2022176) (← links)
• An extended two-stage sequential optimization approach: properties and performance (Q2023982) (← links)
• Bayesian optimization approaches for identifying the best genotype from a candidate population (Q2084441) (← links)
• Generalized hierarchical expected improvement method based on black-box functions of adaptive search strategy (Q2109428) (← links)
• Applying Bayesian optimization with Gaussian process regression to computational fluid dynamics problems (Q2136471) (← links)
• Rapid design of metamaterials via multitarget Bayesian optimization (Q2245155) (← links)
• Combining Bayesian optimization and Lipschitz optimization (Q2303661) (← links)
• Optimization of expensive black-box problems via gradient-enhanced Kriging (Q2310272) (← links)
• A supermartingale approach to Gaussian process based sequential design of experiments (Q2325344) (← links)
• Global optimization using Gaussian processes to estimate biological parameters from image data (Q2328256) (← links)
• Examples of inconsistency in optimization by expected improvement (Q2393071) (← links)
• Convergence conditions and numerical comparison of global optimization methods based on dimensionality reduction schemes (Q2422874) (← links)
• Tracking global optima in dynamic environments with efficient global optimization (Q2630219) (← links)
• Small sample spaces for Gaussian processes (Q2692515) (← links)
• On the Convergence Rates of Expected Improvement Methods (Q2957473) (← links)
• (Q3763911) (← links)
• Gaussian processes for computer experiments (Q4606435) (← links)
• (Q4633069) (← links)
• Rates of Convergence for a Class of Global Stochastic Optimization Algorithms (Q4702339) (← links)
• Global Convergence Rate Analysis of a Generic Line Search Algorithm with Noise (Q4997171) (← links)
• (Q4999099) (← links)
• Bayesian Optimization with Expensive Integrands (Q5071110) (← links)
• A Multilevel Simulation Optimization Approach for Quantile Functions (Q5084670) (← links)
• Combined Global and Local Search for Optimization with Gaussian Process Models (Q5084673) (← links)
• Maximum Likelihood Estimation and Uncertainty Quantification for Gaussian Process Approximation of Deterministic Functions (Q5119635) (← links)
• (Q5148979) (← links)
• An Initialization Strategy for High-Dimensional Surrogate-Based Expensive Black-Box Optimization (Q5172957) (← links)
• Derivative-free optimization methods (Q5230522) (← links)
• Convergence rate of a simulated annealing algorithm with noisy observations (Q5381109) (← links)
• A Theoretical Framework for Calibration in Computer Models: Parametrization, Estimation and Convergence Properties (Q5741200) (← links)
• Cross-Validation--based Adaptive Sampling for Gaussian Process Models (Q5862906) (← links)
• Algorithm 1025: PARyOpt: A Software for <u>P</u> arallel <u>A</u> synchronous <u>R</u> emote Ba <u>y</u> esian <u>Opt</u> imization (Q5883718) (← links)
• Bayesian Estimation and Optimization for Learning Sequential Regularized Portfolios (Q5886361) (← links)
• Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics (Q6053801) (← links)
• Asymptotic Bounds for Smoothness Parameter Estimates in Gaussian Process Interpolation (Q6062242) (← links)