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Massively Parallel Approximate Gaussian Process Regression.

, , and . SIAM/ASA J. Uncertain. Quantification, 2 (1): 564-584 (2014)

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Massively parallel approximate Gaussian process regression., , and . CoRR, (2013)Gaussian processes and limiting linear models., and . Comput. Stat. Data Anal., 53 (1): 123-136 (2008)Speeding Up Neighborhood Search in Local Gaussian Process Prediction., and . Technometrics, 58 (3): 294-303 (2016)Modeling an Augmented Lagrangian for Blackbox Constrained Optimization., , , , , , and . Technometrics, 58 (1): 1-11 (2016)Massively Parallel Approximate Gaussian Process Regression., , and . SIAM/ASA J. Uncertain. Quantification, 2 (1): 564-584 (2014)Large-scale local surrogate modeling of stochastic simulation experiments., , and . Comput. Stat. Data Anal., (2022)Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian., , , and . NIPS, page 1435-1443. (2016)Empirical performance modeling of GPU kernels using active learning., , , , , and . PARCO, volume 25 of Advances in Parallel Computing, page 646-655. IOS Press, (2013)Adaptive Design and Analysis of Supercomputer Experiments., and . Technometrics, 51 (2): 130-145 (2009)Parameter and Uncertainty Estimation for Dynamical Systems Using Surrogate Stochastic Processes., , , , , , and . SIAM J. Sci. Comput., 41 (4): A2212-A2238 (2019)