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Publications

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.
Yiu, A. et al. (2025) “Semiparametric posterior corrections”, Journal of the Royal Statistical Society, Series B (Statistical Methodology), 87(4), pp. 1025–1054.
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.”
Clerico, E., Flynn, H. and Rebeschini, P. (2025) “Uniform mean estimation for monotonic processes”, arXiv.
He, Y. et al. (2025) “Learning to Fuse Temporal Proximity Networks: A Case Study in Chimpanzee Social Interactions”, arXiv.
Alfano, C. et al. (2025) “Learning mirror maps in policy mirror descent”, in. International Conference on Learning Representations.
Lo, T., Reinert, G. and Zhang, R. (2025) “Isolated vertices in two duplication-divergence models with edge deletion.”