Publications

Taufiq, M. et al. (2022) “Conformal Off-Policy Prediction in Contextual Bandits”, in Advances in Neural Information Processing Systems.

Temčinas, T., Nanda, V. and Reinert, G. (2021) “Multivariate Central Limit Theorems for Random Clique Complexes”, arXiv.

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.

Wu, F. and Rebeschini, P. (2021) “Implicit regularization in matrix sensing via mirror descent”, in Advances in Neural Information Processing Systems 34 (NeurIPS 2021). Neural Information Processing Systems Foundation.

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.