Publications

Vaškevičius, T., Kanade, V. and Rebeschini, P. (2019) “Implicit Regularization for Optimal Sparse Recovery”, arXiv.

Ansari, M. et al. (2019) “Interferon lambda 4 impacts the genetic diversity of hepatitis C virus”, eLife, 8(2019).

Glaire, M. et al. (2019) “Tumour-infiltrating CD8+ lymphocytes and colorectal cancer recurrence by tumour and nodal stage”, British Journal of Cancer, 121, pp. 474–482.

Le, T. et al. (2019) “Revisiting reweighted wake-sleep for models with stochastic control flow”, in Proceedings of the International Conference on Uncertainty in Artificial Intelligence. Association for Uncertainty in Artificial Intelligence.

Eric, N. et al. (2019) “Hybrid models with deep and invertible features”, in Proceedings of Machine Learning Research. Proceedings of Machine Learning Research, pp. 4723–4732.

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

Lyddon, S., Holmes, C. and Walker, S. (2019) “General Bayesian updating and the loss-likelihood bootstrap”, Biometrika, 106(2), pp. 465–478.

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