Fast automatic bayesian cubature using sobol'sampling

R Jagadeeswaran, FJ Hickernell - … and Simulation: Festschrift for Pierre L' …, 2022 - Springer
Automatic cubatures approximate integrals to user-specified error tolerances. For high
dimensional problems, it is difficult to adaptively change the sampling pattern to focus on …

Computationally Efficient and Error Aware Surrogate Construction for Numerical Solutions of Subsurface Flow Through Porous Media

AG Sorokin, A Pachalieva, D O'Malley… - arXiv preprint arXiv …, 2023 - arxiv.org
Limiting the injection rate to restrict the pressure below a threshold at a critical location can
be an important goal of simulations that model the subsurface pressure between injection …

Credible Intervals for Probability of Failure with Gaussian Processes

AG Sorokin, V Rao - arXiv preprint arXiv:2311.07733, 2023 - arxiv.org
Efficiently approximating the probability of system failure has gained increasing importance
as expensive simulations begin to play a larger role in reliability quantification tasks in areas …

On Bounding and Approximating Functions of Multiple Expectations Using Quasi-Monte Carlo

AG Sorokin, J Rathinavel - International Conference on Monte Carlo and …, 2022 - Springer
Abstract Monte Carlo and Quasi-Monte Carlo methods present a convenient approach for
approximating the expected value of a random variable. Algorithms exist to adaptively …

GAIL---Guaranteed Automatic Integration Library in MATLAB: Documentation for Version 2.1

SCT Choi, Y Ding, FJ Hickernell, L Jiang… - arXiv preprint arXiv …, 2015 - arxiv.org
Automatic and adaptive approximation, optimization, or integration of functions in a cone
with guarantee of accuracy is a relatively new paradigm. Our purpose is to create an open …