5 papers
QuACK: A Multipurpose Queuing Algorithm for Cooperative -Armed Bandits
Benjamin Howson, Sarah Filippi, Ciara Pike-Burke
We study the cooperative stochastic -armed bandit problem, where a network of agents collaborate to find the optimal action. In contrast to most prior work on this problem,…
Adjusting Model Size in Continual Gaussian Processes: How Big is Big Enough?
Guiomar Pescador-Barrios, Sarah Filippi, Mark van der Wilk
Many machine learning models require setting a parameter that controls their size before training, e.g. number of neurons in DNNs, or inducing points in GPs. Increasing capacity ty…
Logistic Variational Bayes Revisited
Michael Komodromos, Marina Evangelou, Sarah Filippi
Variational logistic regression is a popular method for approximate Bayesian inference seeing wide-spread use in many areas of machine learning including: Bayesian optimization, re…
Weighted-Sum of Gaussian Process Latent Variable Models
James Odgers, Ruby Sedgwick, Chrysoula Kappatou +2
This work develops a Bayesian non-parametric approach to signal separation where the signals may vary according to latent variables. Our key contribution is to augment Gaussian Pro…
Group Spike and Slab Variational Bayes
Michael Komodromos, Marina Evangelou, Sarah Filippi +1
We introduce Group Spike-and-slab Variational Bayes (GSVB), a scalable method for group sparse regression. A fast co-ordinate ascent variational inference (CAVI) algorithm is devel…