Large scale tensor regression using kernels and variational inference

DOI10.1007/S10994-021-06067-7OpenAlexW3196433949MaRDI QIDQ2102330

Dino Sejdinovic, Robert Hu, Geoff K. Nicholls

Publication date: 28 November 2022

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2002.04704

zbMATH Keywords

tensorkernel methodsBayesianuncertainty quantificationvariational inferenceRKHSlarge scale prediction

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• PyTorch
• Adam
• LightGBM
• DeepAR

Cites Work

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• Tensor Decompositions and Applications
• Tensor-Train Decomposition
• Tensor factorization using auxiliary information
• Inventory Management of a Fast-Fashion Retail Network
• Gaussian Variational Approximation With a Factor Covariance Structure
• Kernel Ridge Regression

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