Search Results for author: Gia-Lac Tran

Found 2 papers, 1 papers with code

Sparse within Sparse Gaussian Processes using Neighbor Information

no code implementations10 Nov 2020 Gia-Lac Tran, Dimitrios Milios, Pietro Michiardi, Maurizio Filippone

In this work, we address one limitation of sparse GPs, which is due to the challenge in dealing with a large number of inducing variables without imposing a special structure on the inducing inputs.

Gaussian Processes Variational Inference

Calibrating Deep Convolutional Gaussian Processes

1 code implementation26 May 2018 Gia-Lac Tran, Edwin V. Bonilla, John P. Cunningham, Pietro Michiardi, Maurizio Filippone

The wide adoption of Convolutional Neural Networks (CNNs) in applications where decision-making under uncertainty is fundamental, has brought a great deal of attention to the ability of these models to accurately quantify the uncertainty in their predictions.

Decision Making Decision Making Under Uncertainty +3

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