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Publications

Maddison, C. et al. (2019) “Particle value functions”, in 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings.
Maddison, C., Mnih, A. and Teh, Y. (2019) “The concrete distribution: A continuous relaxation of discrete random variables”, in 5th International Conference on Learning Representations, ICLR 2017 - Conference Track Proceedings.
Kim, H. et al. (2019) “Attentive neural processes”, in 7th International Conference on Learning Representations, ICLR 2019.
Nalisnick, E. et al. (2019) “Do deep generative models know what they don’t know?”, in 7th International Conference on Learning Representations Iclr 2019.
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.
Nalisnick, E. et al. (2019) “Hybrid models with deep and invertible features”, in 36th International Conference on Machine Learning Icml 2019, pp. 8295–8304.
Sodjo, J. et al. (2019) “A Bayesian Nonparametric Model for Unsupervised Joint Segmentation of a Collection of Images”, IEEE Access, 7, pp. 120176–120188.
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.
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.