Probabilistic Numerics

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• Alessandro Davide Ialongo (MLG - University of Cambridge)
• Thursday 16 February 2017, 13:30-15:00
• Engineering Department, CBL Room 438.

If you have a question about this talk, please contact Alessandro Davide Ialongo.

Abstract:

After a brief conceptual review of aims and tools, we will cover the Probabilistic Numerical approach to quadrature (integration) and optimisation (quasi-newton methods and stochastic gradient descent).

Reading:

There is no required reading, however Persi Diaconis’ 1988 paper Bayesian Numerical Analysis provides a good, historical introduction to the subject matter of probabilistic numerics.

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

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