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Deep Kernels

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If you have a question about this talk, please contact Elre Oldewage .

Deep kernel learning methods try to combine the expressive power of neural networks with the uncertainty representation of Gaussian processes. This is achieved by learning a feature extractor to transform the input data before using a Gaussian process model. In this talk, we will describe what deep kernel learning is in depth, before discussing recent advances and insights.

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Our reading groups are livestreamed via Zoom and recorded for our Youtube channel. The Zoom details are distributed via our weekly mailing list.

This talk is part of the Machine Learning Reading Group @ CUED series.

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FW11, William Gates Building. Zoom link: https://cl-cam-ac-uk.zoom.us/j/4361570789?pwd=Nkl2T3ZLaTZwRm05bzRTOUUxY3Q4QT09&from=addon Seminar Room, Gleeson Building, MRC Toxicology Unit, Tennis Court Road FW 11, William Gates Building. Zoom link: https://cl-cam-ac-uk.zoom.us/j/4361570789?pwd=Nkl2T3ZLaTZwRm05bzRTOUUxY3Q4QT09&from=addon

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