MEMe: An accurate maximum entropy method for efficient approximations in large-scale machine learning
Efficient approximation lies at the heart of large-scale machine learning problems. In this paper, we propose a novel, robust maximum entropy algorithm, which is capable of dealing with hundreds of moments and allows for computationally efficient approximations. We showcase the usefulness of the pro...
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Bibliographic Details
Main Authors: |
Granziol, D,
Ru, B,
Zohren, S,
Dong, X,
Osborne, M,
Roberts, S |
Format: | Journal article
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Published: |
MDPI
2019
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