Rajitha Meka - researchr alias

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Viewing Publication 1 - 4 from 4

2021

Multi-Armed Bandit Regularized Expected Improvement for Efficient Global Optimization of Expensive Computer Experiments With Low NoiseRajitha Meka, Adel Alaeddini, Chinonso Ovuegbe, Pranav A. Bhounsule, Peyman Najafirad, Kai Yang. access, 9:100125-100140, 2021. [doi]

2020

An Active Learning Methodology for Efficient Estimation of Expensive Noisy Black-Box Functions Using Gaussian Process RegressionRajitha Meka, Adel Alaeddini, Sakiko Oyama, Kristina Langer. access, 8:111460-111474, 2020. [doi]

Corrections to "An Active Learning Methodology for Efficient Estimation of Expensive Noisy Black-Box Functions Using Gaussian Process Regression"Rajitha Meka, Adel Alaeddini, Sakiko Oyama, Kristina Langer. access, 8:128239, 2020. [doi]

2019

Sequential Laplacian regularized V-optimal design of experiments for response surface modeling of expensive tests: An application in wind tunnel testingAdel Alaeddini, Edward Craft, Rajitha Meka, Stanford Martinez. iiset, 51(5):559-576, 2019. [doi]

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