Publications

Gram-Hansen, B. et al. (2019) “Hijacking Malaria Simulators with Probabilistic Programming”, arXiv.

Lee, J., Miscouridou, X. and Caron, F. (2019) “A unified construction for series representations and finite approximations of completely random measures”, arXiv.

Lee, J. et al. (2019) “Set transformer: A framework for attention-based permutation-invariant neural networks”, in. Proceedings of Machine Learning Research, pp. 3744–3753.

Richards, D. and Rebeschini, P. (2019) “Optimal Statistical Rates for Decentralised Non-Parametric Regression with Linear Speed-Up”, arXiv.

Nalisnick, E. et al. (2019) “Do deep generative models know what they don’t know?”, in International Conference on Learning Representations.

Merel, J. et al. (2019) “Neural probabilistic motor primitives for humanoid control”, in International Conference on Learning Representations.

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. PMLR, pp. 758–767.

Hejblum, B. et al. (2019) “Sequential Dirichlet process mixtures of multivariate skew t-distributions for model-based clustering of flow cytometry data”, Annals of Applied Statistics, 13(1), pp. 638–660.

Galashov, A. et al. (2019) “Meta-Learning surrogate models for sequential decision making.”

Ayed, F. and Caron, F. (2019) “Nonnegative Bayesian nonparametric factor models with completely random measures for community detection”, arXiv.