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SVAGP

Sparse Variational Additive Gaussian Process

Key reference is

@inproceedings{adam2016scalable,
  title={Scalable transformed additive signal decomposition by non-conjugate Gaussian process inference},
  author={Adam, Vincent and Hensman, James and Sahani, Maneesh},
  booktitle={Machine Learning for Signal Processing (MLSP), 2016 IEEE 26th International Workshop on},
  pages={1--6},
  year={2016},
  organization={IEEE}
}

Requirements (Python 3)

  • tensorflow==1.1.0
  • numpy==1.12.1
  • matplotlib==2.0.2

The python implementation heavily relies on GPflow

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Sparse Variational Additive Gaussian Process

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