Publications
Buna-Marginean, A. and Rebeschini, P. (2025) “Robust gradient descent for phase retrieval”, in Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS) 2025. PMLR.
Vary, S., Martínez-Rubio, D. and Rebeschini, P. (2025) “Black-box uniform stability for non-Euclidean empirical risk minimization”, in International Conference on Artificial Intelligence and Statistics, 3-5 May 2025, Splash Beach Resort in Mai Khao, Thailand. Artificial Intelligence and Statistics, pp. 4942–4950.
Ren, K., Trauthwein, T. and Reinert, G. (2025) “Triadic structures in multislice networks.”
Fischer, A., Reinert, G. and Xu, W. (2025) “Stein’s method of moment estimators for local dependency exponential random graph models.”
Wegel, T., Kur, G. and Rebeschini, P. (2025) “Early-Stopped Mirror Descent for Linear Regression over Convex Bodies”, arXiv.
Caron, F. et al. (2025) “Over-parameterised shallow neural networks with asymmetrical node scaling: global convergence guarantees and feature learning”, Transactions on Machine Learning Research, 2025(2).
Wirth, L., Aminian, G. and Reinert, G. (2025) “Private Synthetic Graph Generation and Fused Gromov-Wasserstein Distance.”