Publications

Roxanis, I. et al. (2017) “Digital analysis of tumour microarchitecture as an independent prognostic tool in breast cancer”, in Laboratory Investigation. Nature Publishing Group, p. 68A.

Roxanis, I. et al. (2017) “Digital analysis of tumour microarchitecture as an independent prognostic tool in breast cancer”, in Modern Pathology. Nature Publishing Group, p. 68A.

Watson, J. and Holmes, C. (2017) “Rejoinder: Approximate Models and Robust Decisions”, Statistical Science, 31(4), pp. 516–520.

Watson, J. and Holmes, C. (2017) “Approximate models and robust decisions”, Statistical Science, 31(4), pp. 465–489.

Wills, Q. et al. (2017) “The nature and nurture of cell heterogeneity: accounting for macrophage gene-environment interactions with single-cell RNA-Seq”, BMC Genomics, 18(1).

Mitrovic, J., Sejdinovic, D. and Teh, Y. (2017) “Deep kernel machines via the kernel reparametrization trick”, in 5th International Conference on Learning Representations Iclr 2017 Workshop Track Proceedings.

Maddison, C., Mnih, A. and Teh, Y. (2017) “The concrete distribution: A continuous relaxation of discrete random variables”, in 5th International Conference on Learning Representations, ICLR 2017 - Conference Track Proceedings.

Lu, X. et al. (2017) “Relativistic Monte Carlo”, in Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, AISTATS 2017.

Maddison, C. et al. (2017) “Particle value functions”, in 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings.

Teh, Y. et al. (2017) “Distral: robust multitask reinforcement learning”, in Advances in Neural Information Processing Systems 30 (NIPS 2017). Massachusetts Institute of Technology Press, pp. 4497–4507.