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A Tutorial on Sparse Gaussian Processes and Variational Inference
27 December 2020
Felix Leibfried
Vincent Dutordoir
S. T. John
N. Durrande
GP
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Papers citing
"A Tutorial on Sparse Gaussian Processes and Variational Inference"
27 / 27 papers shown
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Variational sparse inverse Cholesky approximation for latent Gaussian processes via double Kullback-Leibler minimization
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Variational Inference for Model-Free and Model-Based Reinforcement Learning
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Fast Bayesian Optimization of Needle-in-a-Haystack Problems using Zooming Memory-Based Initialization (ZoMBI)
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Variational Gaussian Processes: A Functional Analysis View
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Sparse Uncertainty Representation in Deep Learning with Inducing Weights
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Bayesian Quantile and Expectile Optimisation
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