An Approximation Theory Framework for Measure-Transport Sampling Algorithms.
Ricardo BaptistaBamdad HosseiniNikola B. KovachkiYoussef M. MarzoukAmir SagivPublished in: CoRR (2023)
Keyphrases
- information theory
- conceptual framework
- benchmark datasets
- theoretical framework
- orders of magnitude
- neural network
- quotient space
- information geometry
- mathematical foundations
- general theory
- linear algebra
- genetic algorithm
- mathematical framework
- quality measures
- computational model
- main contribution
- bayesian framework
- information theoretic
- error measure
- computationally efficient
- sampling strategy
- distance measure
- computational complexity