Publications

Farghly, T. and Rebeschini, P. (2021) “Time-independent generalization bounds for SGLD in non-convex settings”, in Advances in Neural Information Processing Systems 34 (NeurIPS 2021). Neural Information Processing Systems Foundation, pp. 19836–19846.

Richards, D., Negahban, S. and Rebeschini, P. (2021) “Distributed machine learning with sparse heterogeneous data”, in Advances in Neural Information Processing Systems 34 (NeurIPS 2021). Neural Information Processing Systems Foundation, pp. 18008–18020.

Farghly, T. and Rebeschini, P. (2021) “Time-independent Generalization Bounds for SGLD in Non-convex Settings”, arXiv.

Mallon, A.-M. et al. (2021) “Advancing data science in drug development through an innovative computational framework for data sharing and statistical analysis”, BMC Medical Research Methodology, 21(1).

Padellini, T. et al. (2021) “Time varying association between deprivation, ethnicity and SARS-CoV-2 infections in England: a space-time study.”, medRxiv [Preprint].

Gaunt, R. and Reinert, G. (2021) “Bounds for the chi-square approximation of Friedman’s statistic by Stein’s method.”

Campbell, A. et al. (2021) “Online Variational Filtering and Parameter Learning”, arXiv.

Oravkin, E. and Rebeschini, P. (2021) “On Optimal Interpolation In Linear Regression”, arXiv.

He, Y. et al. (2021) “SSSNET: Semi-Supervised Signed Network Clustering.”

Di Benedetto, G., Caron, F. and Teh, Y. (2021) “Non-exchangeable random partition models for microclustering”, Annals of Statistics, 49(4), pp. 1931–1957.