Publications

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.

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

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.

Sodjo, J. et al. (2019) “A Bayesian Nonparametric Model for Unsupervised Joint Segmentation of a Collection of Images”, IEEE Access, 7, pp. 120176–120188.

Ayed, F., Lee, J. and Caron, F. (2019) “Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior”, in 36th International Conference on Machine Learning, ICML 2019, pp. 604–613.

Lee, J. et al. (2019) “A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure”, in Proceedings of Machine Learning Research, pp. 758–767.