• Corpus ID: 244102876

Multi-task Learning for Compositional Data via Sparse Network Lasso

@inproceedings{Okazaki2021MultitaskLF,
  title={Multi-task Learning for Compositional Data via Sparse Network Lasso},
  author={Akira Okazaki and Shuichi Kawano},
  year={2021}
}
A network lasso enables us to construct a model for each sample, which is known as multi-task learning. Existing methods for multi-task learning cannot be applied to compositional data due to their intrinsic properties. In this paper, we propose a multi-task learning method for compositional data using a sparse network lasso. We focus on a symmetric form of the log-contrast model, which is a regression model with compositional covariates. The effectiveness of the proposed method is shown… 

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