Reproducible code for our paper "Explainable Learning with Gaussian Processes"
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Jun 1, 2024 - MATLAB
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sparse-approximations
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This is a repository associated with the chapter book "Towards optimal sampling for learning sparse approximations in high dimensions" by Ben Adcock, Juan M. Cardenas, Nick Dexter and Sebastian Moraga to be published by Springer in late 2021, available at https://arxiv.org/abs/2202.02360
compressed-sensing
least-squares
high-dimensional
minimization-algorithm
sampling-strategies
sparse-approximations
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May 22, 2024 - MATLAB
Orthogonal sparse variational Gaussian processes (SVGP's) in TensorFlow.
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Feb 1, 2023 - Jupyter Notebook
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