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talks

Gaussian Process Models for Multi-Task Learning

Published:

Multi-task learning refers to a framework in machine learning where multiple tasks sharing a common domain are learned simultaneously. In this talk, I explained how to incorporate this framework within Bayesian modelling using Gaussian process models. The talk describes the general structure of a multi-output GP, and explores some of the most common kernel structures that correspond to such models. The sildes are available here. Read more

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post. Read more

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post. Read more