Who Cited It

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.

A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions (2018)A tutorial on Gaussian proces…Advances in Neural Information Processing Systems 19 (2007)Advances in Neural Informatio…Advances in Neural Information Processing Systems 28 (2015)Advances in Neural Informatio…Gaussian Processes for Machine Learning (2005)Gaussian Processes for Machin…Gaussian Processes in Machine Learning (2004)Gaussian Processes in Machine…Random Features for Large-Scale Kernel Machines (2007)Random Features for Large-Sca…Learning in Graphical Models (1998)Learning in Graphical Models
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What this paper cites, inside the corpus

PaperYearCited
Advances in Neural Information Processing Systems 19200715,653
Advances in Neural Information Processing Systems 28201514,672
Gaussian Processes for Machine Learning200510,470
Gaussian Processes in Machine Learning20045,173
Random Features for Large-Scale Kernel Machines20072,646
Learning in Graphical Models19982,437

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Topics

Gaussian Processes and Bayesian InferenceComputer Science
Advanced Multi-Objective Optimization AlgorithmsComputer Science
Advanced Bandit Algorithms ResearchDecision Sciences

Is this record sound?

complete

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  • 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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