Publications
Rainforth, T. et al. (2019) “On nesting Monte Carlo estimators”, in 35th International Conference on Machine Learning, ICML 2018, Stockholmsmässan, Stockholm Sweden, 10th - 15th July 2018. Proceedings of Machine Learning Research, pp. 4267–4276.
Elliott, A. et al. (2019) “Anomaly detection in networks with application to financial transaction networks”, JournalName [Preprint].
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.
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.
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.