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Mercer kernels and integrated variance experimental design: connections between Gaussian process regression and polynomial approximation., and . CoRR, (2015)A Koopman framework for rare event simulation in stochastic differential equations., , and . J. Comput. Phys., (2022)Sequential data assimilation with multiple models., , and . J. Comput. Phys., 231 (19): 6401-6418 (2012)Transport Map Accelerated Markov Chain Monte Carlo., and . SIAM/ASA J. Uncertain. Quantification, 6 (2): 645-682 (2018)hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty., , , , , and . CoRR, (2021)An Approximation Theory Framework for Measure-Transport Sampling Algorithms., , , , and . CoRR, (2023)Conditional classifiers and boosted conditional Gaussian mixture model for novelty detection., , and . Pattern Recognit., (2018)Stochastic spectral methods for efficient Bayesian solution of inverse problems., , and . J. Comput. Phys., 224 (2): 560-586 (2007)Gradient-Based Dimension Reduction of Multivariate Vector-Valued Functions., , , and . SIAM J. Sci. Comput., 42 (1): A534-A558 (2020)Optimal Low-rank Approximations of Bayesian Linear Inverse Problems., , , , , and . SIAM J. Sci. Comput., (2015)