Pages that link to "Item:Q2899025"

The following pages link to The knowledge-gradient policy for correlated normal beliefs (Q2899025):

Displaying 50 items.

• A method for the updating of stochastic Kriging metamodels (Q320105) (← links)
• Perspectives of approximate dynamic programming (Q333093) (← links)
• Expected improvement in efficient global optimization through bootstrapped Kriging (Q445325) (← links)
• Continuous multi-task Bayesian optimisation with correlation (Q724020) (← links)
• Optimal learning for sequential sampling with non-parametric beliefs (Q742143) (← links)
• Optimal learning with a local parametric belief model (Q746825) (← links)
• Adaptive-treed bandits (Q888482) (← links)
• A unified framework for stochastic optimization (Q1719609) (← links)
• Comparison of Kriging-based algorithms for simulation optimization with heterogeneous noise (Q1753578) (← links)
• Refined knowledge-gradient policy for learning probabilities (Q1785627) (← links)
• Bayesian model calibration and optimization of surfactant-polymer flooding (Q2009830) (← links)
• Expected improvement for expensive optimization: a review (Q2022176) (← links)
• A survey on kriging-based infill algorithms for multiobjective simulation optimization (Q2289950) (← links)
• A supermartingale approach to Gaussian process based sequential design of experiments (Q2325344) (← links)
• Tracking global optima in dynamic environments with efficient global optimization (Q2630219) (← links)
• The knowledge gradient algorithm for a general class of online learning problems (Q2892224) (← links)
• The knowledge-gradient algorithm for sequencing experiments in drug discovery (Q2899126) (← links)
• A Fully Sequential Elimination Procedure for Indifference-Zone Ranking and Selection with Tight Bounds on Probability of Correct Selection (Q2931710) (← links)
• Optimal Learning in Experimental Design Using the Knowledge Gradient Policy with Application to Characterizing Nanoemulsion Stability (Q2945155) (← links)
• Optimal Learning in Linear Regression with Combinatorial Feature Selection (Q2960366) (← links)
• Information Collection on a Graph (Q3013928) (← links)
• Consistency of Sequential Bayesian Sampling Policies (Q3021270) (← links)
• The Correlated Knowledge Gradient for Simulation Optimization of Continuous Parameters using Gaussian Process Regression (Q3105788) (← links)
• Optimal Learning with Local Nonlinear Parametric Models over Continuous Designs (Q3303989) (← links)
• A Knowledge-Gradient Policy for Sequential Information Collection (Q3399249) (← links)
• Sequential Selection with Unknown Correlation Structures (Q3465595) (← links)
• Optimal Learning for Nonlinear Parametric Belief Models Over Multidimensional Continuous Spaces (Q4554064) (← links)
• Optimal Learning for Stochastic Optimization with Nonlinear Parametric Belief Models (Q4586173) (← links)
• Finite-Time Analysis for the Knowledge-Gradient Policy (Q4610155) (← links)
• (Q4633069) (← links)
• Bayesian Exploration for Approximate Dynamic Programming (Q4971589) (← links)
• Gaussian Markov Random Fields for Discrete Optimization via Simulation: Framework and Algorithms (Q4971593) (← links)
• Knockout-Tournament Procedures for Large-Scale Ranking and Selection in Parallel Computing Environments (Q5031020) (← links)
• Bayesian Optimization Allowing for Common Random Numbers (Q5060516) (← links)
• Plausible Screening Using Functional Properties for Simulations with Large Solution Spaces (Q5060518) (← links)
• Bayesian Optimization with Expensive Integrands (Q5071110) (← links)
• Combined Global and Local Search for Optimization with Gaussian Process Models (Q5084673) (← links)
• Rapid Discrete Optimization via Simulation with Gaussian Markov Random Fields (Q5085466) (← links)
• Dynamic Programming for Response-Adaptive Dose-Finding Clinical Trials (Q5086016) (← links)
• Posterior-Based Stopping Rules for Bayesian Ranking-and-Selection Procedures (Q5087734) (← links)
• Bayesian Optimization of Expected Quadratic Loss for Multiresponse Computer Experiments with Internal Noise (Q5119634) (← links)
• A Knowledge Gradient Policy for Sequencing Experiments to Identify the Structure of RNA Molecules Using a Sparse Additive Belief Model (Q5137960) (← links)
• Optimal Online Learning for Nonlinear Belief Models Using Discrete Priors (Q5144779) (← links)
• Parallel Bayesian Global Optimization of Expensive Functions (Q5144800) (← links)
• Nested-Batch-Mode Learning and Stochastic Optimization with An Application to Sequential MultiStage Testing in Materials Science (Q5254790) (← links)
• Simulation Optimization: A Review and Exploration in the New Era of Cloud Computing and Big Data (Q5265460) (← links)
• ON THE IDENTIFICATION AND MITIGATION OF WEAKNESSES IN THE KNOWLEDGE GRADIENT POLICY FOR MULTI-ARMED BANDITS (Q5358114) (← links)
• Bayesian Optimization via Simulation with Pairwise Sampling and Correlated Prior Beliefs (Q5740229) (← links)
• Bayesian Estimation and Optimization for Learning Sequential Regularized Portfolios (Q5886361) (← links)
• Simulation optimization: a review of algorithms and applications (Q5919176) (← links)