Gaussian Processes Reading List

Curated by Mouhssine Rifaki | Stanford Electrical Engineering | Last updated August 2026

Foundational and modern papers on Gaussian processes, from sparse approximations to deep and scalable variants.

Gaussian Processes: 10 key papers

1. Gaussian Process Kernels for Pattern Discovery and Extrapolation
   Wilson and Adams. arXiv 2013.
2. Deep Gaussian Processes
   Damianou and Lawrence. arXiv 2012.
3. Scalable Variational Gaussian Process Classification
   Hensman et al. arXiv 2014.
4. Gaussian Processes for Big Data
   Hensman et al. arXiv 2013.
5. Doubly Stochastic Variational Inference for Deep Gaussian Processes
   Salimbeni and Deisenroth. arXiv 2017.
6. When Gaussian Process Meets Big Data: A Review of Scalable GPs
   Liu et al. arXiv 2018.
7. Understanding Probabilistic Sparse Gaussian Process Approximations
   Bauer et al. arXiv 2016.
8. Deep Neural Networks as Gaussian Processes
   Lee et al. arXiv 2017.
9. GPflow: A Gaussian process library using TensorFlow
   Matthews et al. arXiv 2016.
10. Convolutional Gaussian Processes
    van der Wilk et al. arXiv 2017.

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