PONTI ANDREA

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). 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

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

Sabbatella, A., Archetti, F., Ponti, A., Giordani, I., Candelieri, A. (2024). Bayesian Optimization for Instruction Generation. APPLIED SCIENCES, 14(24) [10.3390/app142411865]. Dettaglio

Sabbatella, A., Ponti, A., Candelieri, A., Archetti, F. (2024). Bayesian Optimization Using Simulation-Based Multiple Information Sources over Combinatorial Structures. MACHINE LEARNING AND KNOWLEDGE EXTRACTION, 6(4), 2232-2247 [10.3390/make6040110]. Dettaglio