Data-Free Likelihood-Informed Dimension Reduction of Bayesian Inverse Problems.

Tiangang Cui Olivier Zahm

Published in: CoRR (2021)

Keyphrases

dimension reduction
data sets
high dimensional data
high quality
data analysis
training data
data points
input data
missing data
machine learning
cost function
semi supervised
cluster analysis