ARCHETTI FRANCESCO ANTONIO
- U09, Floor: 1, Room: R071
- U14, Floor: 2, Room: 2044
Publications
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]. Detail
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]. Detail
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]. Detail
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]. Detail
Candelieri, A., Ponti, A., Archetti, F. (2025). A Constrained-JKO Scheme for Effective and Efficient Wasserstein Gradient Flows. In Learning and Intelligent Optimization 18th International Conference, LION 18, Ischia Island, Italy, June 9–13, 2024, Revised Selected Papers (pp.66-80). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-75623-8_6]. Detail