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10.04.2017: Machine Learning Coffee seminar "Learning With Spectral Kernels"

10.04.2017 09:15–10:00

HIIT seminar

Exactum D123, Kumpula

Markus Heinonen


Learning With Spectral Kernels

Abstract: Machine learning algorithms learn models that automatically infer data representations and generalise into new data. Gaussian processes are Bayesian kernel-based models with a key advantage of being able to efficiently learn kernel functions from data. All kernel functions can be decomposed into sinusoidal components, which provide a highly expressive basis for learning arbitrary representations. In this talk I will discuss how we can exploit spectral kernel learning for large-scale multi-task learning. We also generalise spectral learning into learning non-stationary kernels with input-specific behavior
Machine Learning Coffee seminars are weekly seminars held jointly by the Aalto University and the University of Helsinki. The seminars aim to gather people from different fields of science with interest in machine learning. Seminars will be held on Mondays at 9 am at Aalto University and the University of Helsinki every other week. At Aalto University, talks will be held in Konemiehentie 2, seminar room T5 and at the University of Helsinki in Kumpula, seminar room D123, unless otherwise noted. Talks will begin at 9:15 am and porridge and coffee will be served from 9:00 am.
Following talks:
April 17th, *no talk* (Easter break) 
April 24th, Aino Tietäväinen, Otaniemi
May 1st, *no talk* (Vappu)
May 8th, Dorota Glowacka, Kumpula