PhD supervision
present
Annie Gray
Whiteley, Gray and Rubin-Delanchy. Matrix factorisation and the interpretation of geodesic distance. NeurIPS 2021.
Whiteley, Gray and Rubin-Delanchy. Discovering latent topology and geometry in data: a law of large dimensions.
Hannah Sansford
Sansford, Modell, Whiteley and Rubin-Delanchy. Implications of sparsity and high triangle density for graph representation learning. AISTATS. 2023.
Michael Whitehouse
Whitehouse, Whiteley and Rimella. Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods.
past
Lorenzo Rimella
Rimella and Whiteley. Exploiting locality in high-dimensional factorial hidden Markov models. JMLR
Whiteley and Rimella. Inference in stochastic epidemic models via multinomial approximations. AISTATS 2021.
Juha Ala-Luhtala
Ala-Luhtala, Whiteley, Heine and Piché. An Introduction to Twisted Particle Filters and Parameter Estimation in Non-Linear State-Space Models. IEEE Transactions on Signal Processing. 2016.
Svetoslav Kostov
Kostov. Hamiltonian Sequential Monte Carlo and Normalizing Constants. Ph.D. Thesis. 2016.
Kostov and Whiteley. An algorithm for approximating the second moment of the normalizing constant estimate from a particle filter. Methodology and Computing in Applied Probability. 2017.
Marc Box
Box, Jones and Whiteley. A hidden Markov model for decoding and the analysis of replay in spike trains. Journal of Computational Neuroscience. 2016.