Publications

Nalisnick, E. et al. (2019) “Hybrid models with deep and invertible features”, in 36th International Conference on Machine Learning, ICML 2019, pp. 8295–8304.

Le, T. et al. (2019) “Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow”, in Proceedings of Machine Learning Research, pp. 1039–1049.

Le, T. et al. (2019) “Revisiting reweighted wake-sleep for models with stochastic control flow”, in 35th Conference on Uncertainty in Artificial Intelligence, UAI 2019.

Collaborative, S. et al. (2019) “Critical care usage after major gastrointestinal and liver surgery: a prospective, multicentre observational study”, British Journal of Anaesthesia, 122(1), pp. 42–50.

Fong, E., Lyddon, S. and Holmes, C. (2019) “Scalable nonparametric sampling from multimodal posteriors with the posterior bootstrap”, in 36th International Conference on Machine Learning, ICML 2019, pp. 3443–3464.

Maddison, C. et al. (2019) “Particle value functions”, in 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings.

Kim, H. et al. (2019) “Attentive neural processes”, in 7th International Conference on Learning Representations, ICLR 2019.

Maddison, C. et al. (2019) “Particle value functions”, in 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings.

Mitrovic, J., Sejdinovic, D. and Teh, Y. (2019) “Deep kernel machines via the kernel reparametrization trick”, in 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings.