CANDELIERI, ANTONIO
CANDELIERI, ANTONIO
DIPARTIMENTO DI ECONOMIA, METODI QUANTITATIVI E STRATEGIE DI IMPRESA
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
Bayesian optimization, machine learning, and probabilistic numerics
2025 Archetti, F; Ponti, A; Candelieri, A; Sabbatella, A
Distributionally Robust Bayesian Optimization via Sinkhorn-Based Wasserstein Barycenter
2025 Seyedi, I; Candelieri, A; Archetti, F
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
MLE-Free Gaussian Process Based Bayesian Optimization
2025 Candelieri, A; Signori, E
Multi-Objective and Multiple Information Source Optimization for Fair & Green Machine Learning
2025 Candelieri, A; Ponti, A; Archetti, F
Resource Allocation via Bayesian Optimization: an Efficient Alternative to Semi-Bandit Feedback
2025 Candelieri, A
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
Exploring telediagnostic procedures in child neuropsychiatry: addressing ADHD diagnosis and autism symptoms through supervised machine learning
2024 Grazioli, S; Crippa, A; Rosi, E; Candelieri, A; Ceccarelli, S; Mauri, M; Manzoni, M; Mauri, V; Trabattoni, S; Molteni, M; Colombo, P; Nobile, M
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
Multi-model forecasting for finance
2024 Pellattiero, D; Candelieri, A
Prompt Optimization in Large Language Models
2024 Sabbatella, A; Ponti, A; Giordani, I; Candelieri, A; Archetti, F
Towards Full Forward On-Tiny-Device Learning: A Guided Search for a Randomly Initialized Neural Network
2024 Pau, D; Pisani, A; Candelieri, A
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
Distributional learning in multi-objective optimization of recommender systems
2023 Candelieri, A; Ponti, A; Giordani, I; Bosio, A; Archetti, F
Generative Models via Optimal Transport and Gaussian Processes
2023 Candelieri, A; Ponti, A; Archetti, F