Publications

Esperança, P., Aslett, L. and Holmes, C. (2017) “Encrypted accelerated least squares regression”, in Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, AISTATS 2017.

Battiston, M., Favaro, S. and Teh, Y. (2016) “Multi-armed bandit for species discovery: a Bayesian nonparametric approach”, Journal of the American Statistical Association, 113(521), pp. 455–466.

Fernandez, T., Rivera, N. and Teh, Y. (2016) “Gaussian processes for survival analysis”, in Advances in Neural Information Processing Systems 29: 30th Annual Conference on Neural Information Processing Systems 2016. Curran Associates, pp. 5021–5029.

Nicholson, G. and Holmes, C. (2016) “A note on statistical repeatability and study design for high-throughput assays”, Statistics in Medicine, 36(5), pp. 790–798.

Rebeschini, P. and Tatikonda, S. (2016) “A New Approach to Laplacian Solvers and Flow Problems”, arXiv.

Watson, J., Nieto-Barajas, L. and Holmes, C. (2016) “Characterizing variation of nonparametric random probability measures using the Kullback–Leibler divergence”, Statistics, 51(3), pp. 558–571.

Filippi, S., Holmes, C. and Nieto Barajas, L. (2016) “Scalable Bayesian nonparametric measures for exploring pairwise dependence via Dirichlet Process Mixtures”, Electronic Journal of Statistics, 10(2), pp. 3338–3354.

Fernández, T. and Teh, Y. (2016) “Posterior Consistency for a Non-parametric Survival Model under a Gaussian Process Prior.”

Elliott, L. and Teh, Y. (2016) “A nonparametric HMM for genetic imputation and coalescent inference”, Electronic Journal of Statistics, 10(2), pp. 3425–3451.