Research

StatML Publications

Here is a selection of published outputs from our StatML students.

Adjusting Model Size in Continual Gaussian Processes: How Big is Big Enough?

Adjusting Model Size in Continual Gaussian Processes: How Big is Big Enough?

G. Pescador-Barrios, S. Filippi, M. van der Wilk

Published in: Forty-second International Conference on Machine Learning (ICML)

Online Bayesian changepoint detection for network Poisson processes with community structure

Online Bayesian changepoint detection for network Poisson processes with community structure

J. Corneck, E. A. K. Cohen, J. S. Martin and F. Sanna Passino

Published in: Statistics and Computing

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