Large scale tensor regression using kernels and variational inference

Large scale tensor regression using kernels and variational inference

We outline an inherent flaw of tensor factorization models when latent factors are expressed as a function of side information and propose a novel method to mitigate this. We coin our methodology Kernel Fried Tensor (KFT) and present it as a large-scale prediction and forecasting tool for high dimen...

書誌詳細
主要な著者:	Hu, R, Nicholls, GK, Sejdinovic, D
フォーマット:	Journal article
言語:	English
出版事項:	Springer Nature 2021

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