ARCHETTI FRANCESCO ANTONIO
- U09, Piano: 1, Stanza: R071
- U14, Piano: 2, Stanza: 2044
Pubblicazioni
Candelieri, A., Ponti, A., Archetti, F. (2025). Multi-Objective and Multiple Information Source Optimization for Fair & Green Machine Learning. In Numerical Computations: Theory and Algorithms 4th International Conference, NUMTA 2023, Pizzo Calabro, Italy, June 14–20, 2023, Revised Selected Papers, Part I (pp.49-63). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-81241-5_4]. Dettaglio
Seyedi, I., Candelieri, A., Archetti, F. (2025). Distributionally Robust Bayesian Optimization via Sinkhorn-Based Wasserstein Barycenter. MACHINE LEARNING AND KNOWLEDGE EXTRACTION, 7(3) [10.3390/make7030090]. Dettaglio
Candelieri, A., Ponti, A., Archetti, F. (2025). Bayesian optimization over the probability simplex. ANNALS OF MATHEMATICS AND OF ARTIFICIAL INTELLIGENCE, 93(1), 77-91 [10.1007/s10472-023-09883-w]. Dettaglio
Archetti, F., Ponti, A., Candelieri, A., Sabbatella, A. (2025). Bayesian optimization, machine learning, and probabilistic numerics. In Proceedings of the International Conference on Numerical Analysis and Applied Mathematics 2023 (ICNAAM-2023) Available. American Institute of Physics [10.1063/5.0287470]. Dettaglio
Candelieri, A., Ponti, A., Archetti, F. (2025). Gaussian Process regression over discrete probability measures: on the non-stationarity relation between Euclidean and Wasserstein Squared Exponential Kernels. JOURNAL OF GLOBAL OPTIMIZATION, 92(2), 253-278 [10.1007/s10898-025-01463-y]. Dettaglio