Selecting the selector: Comparison of update rules for discrete global optimization

From Organized High-Throughput Data to Phenomenological Theory using Machine Learning: The Example of Dielectric Breakdown

(2016) Chiho Kim et al.   CHEMISTRY OF MATERIALS

Accelerated search for materials with targeted properties by adaptive design

(2016) Dezhen Xue et al.   Nature Communications

Machine Learning Strategy for Accelerated Design of Polymer Dielectrics

(2016) Arun Mannodi-Kanakkithodi et al.   Scientific Reports

Adaptive Strategies for Materials Design using Uncertainties

(2016) Prasanna V. Balachandran et al.   Scientific Reports

Computational strategies for polymer dielectrics design

(2014) C.C. Wang et al.   POLYMER

A benchmark of kriging-based infill criteria for noisy optimization

(2013) Victor Picheny et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Quantile-Based Optimization of Noisy Computer Experiments With Tunable Precision

(2013) Victor Picheny et al.   TECHNOMETRICS

Comment: EI Criteria for Noisy Computer Simulators

(2013) Pritam Ranjan   TECHNOMETRICS

Batch sequential design to achieve predictive maturity with calibrated computer models

(2011) Brian J. Williams et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Cases for the nugget in modeling computer experiments

(2010) Robert B. Gramacy et al.   STATISTICS AND COMPUTING

The kriging update equations and their application to the selection of neighboring data

(2008) Xavier Emery   COMPUTATIONAL GEOSCIENCES

An informational approach to the global optimization of expensive-to-evaluate functions

(2008) Julien Villemonteix et al.   JOURNAL OF GLOBAL OPTIMIZATION

A Knowledge-Gradient Policy for Sequential Information Collection

(2008) Peter I. Frazier et al.   SIAM JOURNAL ON CONTROL AND OPTIMIZATION