tdb40

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Projects

Oct 29, 2017

By vcn22

Machine Learning

This paper develops variational continual learning (VCL), a simple but general framework for continual learning that fuses online variational inferen…

Feb 12, 2016

By tdb40

Machine Learning

Deep Gaussian processes (DGPs) are multi-layer hierarchical generalisations of Gaussian processes (GPs) and are formally equivalent to neural network…

Nov 11, 2015

By tdb40

Conferences: NIPS

Machine Learning

Deep Gaussian processes (DGPs) are multi-layer hierarchical generalisations of Gaussian processes (GPs) and are formally equivalent to neural networks with multiple, infinitely wide hidden layers. DGPs are probabilistic and non-parametric and as suc…

Deep Gaussian processes (DGPs) are multi-layer hierarchical generalisations of Gaussian processes (GPs) and are formally equivalent to neural network…

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tdb40

Projects

Variational Continual Learning

Deep Gaussian Processes for Regression using Approximate Expectation …

Training Deep Gaussian Processes using Stochastic Expectation Propa…

Credentials & highlights

Social

tdb40

Projects

Variational Continual Learning

Deep Gaussian Processes for Regression using Approximate Expectation …

Training Deep Gaussian Processes using Stochastic Expectation Propa…

Credentials & highlights

Social

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