Sfoglia per Autore
Bayesian optimization, machine learning, and probabilistic numerics
2025 Archetti, F; Ponti, A; Candelieri, A; Sabbatella, A
Gaussian Process regression over discrete probability measures: on the non-stationarity relation between Euclidean and Wasserstein Squared Exponential Kernels
2025 Candelieri, A; Ponti, A; Archetti, F
Multi-Objective and Multiple Information Source Optimization for Fair & Green Machine Learning
2025 Candelieri, A; Ponti, A; Archetti, F
Distributionally Robust Bayesian Optimization via Sinkhorn-Based Wasserstein Barycenter
2025 Seyedi, I; Candelieri, A; Archetti, F
A Constrained-JKO Scheme for Effective and Efficient Wasserstein Gradient Flows
2025 Candelieri, A; Ponti, A; Archetti, F
Bayesian optimization over the probability simplex
2025 Candelieri, A; Ponti, A; Archetti, F
Fair and green hyperparameter optimization via multi-objective and multiple information source Bayesian optimization
2024 Candelieri, A; Ponti, A; Archetti, F
Generating Informative Scenarios via Active Learning
2024 Candelieri, A; Chou, X; Archetti, F; Messina, E
Bayesian Optimization for Instruction Generation
2024 Sabbatella, A; Archetti, F; Ponti, A; Giordani, I; Candelieri, A
Bayesian Optimization Using Simulation-Based Multiple Information Sources over Combinatorial Structures
2024 Sabbatella, A; Ponti, A; Candelieri, A; Archetti, F
Prompt Optimization in Large Language Models
2024 Sabbatella, A; Ponti, A; Giordani, I; Candelieri, A; Archetti, F
Wasserstein-Enabled Leaks Localization in Water Distribution Networks
2024 Ponti, A; Giordani, I; Candelieri, A; Archetti, F
A Leak Localization Algorithm in Water Distribution Networks Using Probabilistic Leak Representation and Optimal Transport Distance
2023 Ponti, A; Giordani, I; Candelieri, A; Archetti, F
Generative Models via Optimal Transport and Gaussian Processes
2023 Candelieri, A; Ponti, A; Archetti, F
Safe Optimal Control of Dynamic Systems: Learning from Experts and Safely Exploring New Policies
2023 Candelieri, A; Ponti, A; Fersini, E; Messina, E; Archetti, F
Distributional learning in multi-objective optimization of recommender systems
2023 Candelieri, A; Ponti, A; Giordani, I; Bosio, A; Archetti, F
On the use of Wasserstein distance in the distributional analysis of human decision making under uncertainty
2023 Candelieri, A; Ponti, A; Giordani, I; Archetti, F
Wasserstein enabled Bayesian optimization of composite functions
2023 Candelieri, A; Ponti, A; Archetti, F
Uncertainty quantification and exploration–exploitation trade-off in humans
2023 Candelieri, A; Ponti, A; Archetti, F
Intrusion Detection in Networks by Wasserstein Enabled Many-Objective Evolutionary Algorithms
2023 Ponti, A; Candelieri, A; Giordani, I; Archetti, F
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