DEEP AND MULTI-FIDELITY LEARNING WITH GAUSSIAN PROCESSES
I will first talk about Deep Gaussian processes (deep GPs), a nested GP model which can learn rich representations in a data efficient manner, while being able to reason about uncertainty...
Previous Seminars
A GLOBAL-LOCAL APPROACH FOR DETECTING EQTL HOTSPOTS IN ULTRA-HIGH MULTIPLE RESPONSE REGRESSIONS
We consider how to specify prior distributions for top-level scale parameters in a sparse hierarchical regression model with many predictors and many responses. Our model borrows information across...
Differentiable Programming with Julia
As researchers increasingly push the limits of frameworks like TensorFlow and PyTorch, they are looking to more powerful tools for the next generation of machine learning and statistical models...
HIV Transmission and Opportunities for Health Promotion
This talk will describe the context, motivation and proposed methods for using data about online and offline socialising patterns, sexual partnerships, and HIV status and engagement in care from...
Advances and Challenges in Machine Learning for healthcare
Health presents one of the most challenging domains of machine learning research. This offers an exciting opportunity for machine learning techniques to impact healthcare in a meaningful way. In this
In a world of Big Data - is small beautiful?
In this Seminar, Corri shares reflections on the last 6 years of experience developing a Digital Health Ecosystem in the North East of Scotland. Using a series of exemplars from work in kidney...