A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions

2018 · Journal of Mathematical Psychology · 1,743 citations · 0 from inside this corpus

Eric Schulz, Maarten Speekenbrink, Andreas Krause

No abstract in the source record.

6 of 6 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.

this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

Paper	Year	Cited
Advances in Neural Information Processing Systems 19	2007	15,653
Advances in Neural Information Processing Systems 28	2015	14,672
Gaussian Processes for Machine Learning	2005	10,470
Gaussian Processes in Machine Learning	2004	5,173
Random Features for Large-Scale Kernel Machines	2007	2,646
Learning in Graphical Models	1998	2,437

Links

DOI · OpenAlex record

Topics

Gaussian Processes and Bayesian Inference	Computer Science
Advanced Multi-Objective Optimization Algorithms	Computer Science
Advanced Bandit Algorithms Research	Decision Sciences

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

supports3 author record(s) attached.
supports79 reference(s) recorded.
supportsThe DOI's year agrees with the publication year.
supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:53+00:00.

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