Publications

Miao, N. et al. (2022) “ON INCORPORATING INDUCTIVE BIASES INTO VAES”, in ICLR 2022 - 10th International Conference on Learning Representations.

Venkatesh, S. et al. (2022) “Genetic architecture of longitudinal obesity trajectories in primary care electronic health records”, in HUMAN HEREDITY, pp. 21–22.

Clivio, O. et al. (2022) “Neural Score Matching for High-Dimensional Causal Inference”, in Proceedings of Machine Learning Research, pp. 7076–7110.

Nicholson, G. et al. (2022) “Improving local prevalence estimates of SARS-CoV-2 infections using a causal debiasing framework”, Nature Microbiology, 7(1), pp. 97–107.

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.

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).