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stat.ML2018
Extending classical surrogate modelling to high-dimensions through supervised dimensionality reduction: a data-driven approach
C. Lataniotis, S. Marelli, B. Sudret
Thanks to their versatility, ease of deployment and high-performance, surrogate models have become staple tools in the arsenal of uncertainty quantification (UQ). From local interp…
stat.ML2018
Data-driven polynomial chaos expansion for machine learning regression
E. Torre, S. Marelli, P. Embrechts +1
We present a regression technique for data-driven problems based on polynomial chaos expansion (PCE). PCE is a popular technique in the field of uncertainty quantification (UQ), wh…