Scalable and data-driven approaches to convex programming by Romao, L

Probabilistic feasibility guarantees for convex scenario programs with an arbitrary number of discarded constraints by Romao, L, Margellos, KN, Papachristodoulou, A

Distributed actuator selection: achieving optimality via a primal-dual algorithm by Romao, L, Papachristodoulou, A, Margellos, K

On the exact feasibility of convex scenario programs with discarded constraints by Romao, L, Papachristodoulou, A, Margellos, K

Tight sampling and discarding bounds for scenario programs with an arbitrary number of removed samples by Romao, L, Margellos, K, Papachristodoulou, A

Tight generalization guarantees for the sampling and discarding approach to scenario optimization by Romao, L, Margellos, K, Papachristodoulou, A

Subgradient averaging for multi-agent optimization with different constraint sets by Romao, L, Margellos, K, Papachristodoulou, A, Notarstefano, G

Convergence rate analysis of a subgradient averaging algorithm for distributed optimisation with different constraint sets by Romao, L, Margellos, K, Notarstefano, G, Papachristodoulou, A

Robust control for dynamical systems with non-Gaussian noise via formal abstractions by Badings, T, Romao, L, Abate, A, Parker, D, Poonawala, HA, Stoelinga, M, Jansen, N

Creating a health informatics data resource for hearing health research by Mehta, N, Ribeyre, BB, Dimitrov, L, English, LJ, Ewart, C, Heinrich, A, Joshi, N, Munro, KJ, Roadknight, G, Romao, L, Schilder, AG, Spriggs, RV, Norris, R, Ross, T, Tilston, G

National Institute for Health Research Health Informatics Collaborative: development of a pipeline to collate electronic clinical data for viral hepatitis research by Smith, DA, Wang, T, Freeman, O, Crichton, C, Salih, H, Matthews, PC, Davies, J, Várnai, KA, Woods, K, Jones, CR, Glampson, B, Mulla, A, Mercuri, L, Shaw, AT, Drumright, LN, Romão, L, Ramlakan, D, Higgins, F, Weir, A, Nastouli, E, Agarwal, K, Gelson, W, Cooke, GS, Barnes, E