ARCHETTI FRANCESCO ANTONIO
- U09, Piano: 1, Stanza: R071
- U14, Piano: 2, Stanza: 2044
Pubblicazioni
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]. Dettaglio
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
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 [10.1007/s10898-025-01463-y]. Dettaglio
Candelieri, A., Ponti, A., Archetti, F. (2024). Fair and green hyperparameter optimization via multi-objective and multiple information source Bayesian optimization. MACHINE LEARNING, 113(5), 2701-2731 [10.1007/s10994-024-06515-0]. Dettaglio
Candelieri, A., Chou, X., Archetti, F., Messina, E. (2024). Generating Informative Scenarios via Active Learning. In M. Bruglieri, P. Festa, G. Macrina, O. Pisacane (a cura di), Optimization in Green Sustainability and Ecological Transition
ODS, Ischia, Italy, September 4–7, 2023
Conference proceedings (pp. 299-310). Springer [10.1007/978-3-031-47686-0_27]. Dettaglio