CANDELIERI, ANTONIO

CANDELIERI, ANTONIO  

DIPARTIMENTO DI ECONOMIA, METODI QUANTITATIVI E STRATEGIE DI IMPRESA  

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Titolo Tipologia Data di pubblicazione Autori File
A Constrained-JKO Scheme for Effective and Efficient Wasserstein Gradient Flows 02 - Intervento a convegno 2025 Candelieri A.Ponti A.Archetti F.
Gaussian Process regression over discrete probability measures: on the non-stationarity relation between Euclidean and Wasserstein Squared Exponential Kernels 01 - Articolo su rivista 2025 Candelieri A.Ponti A.Archetti F.
MLE-Free Gaussian Process Based Bayesian Optimization 02 - Intervento a convegno 2025 Candelieri A.Signori E.
Multi-Objective and Multiple Information Source Optimization for Fair & Green Machine Learning 02 - Intervento a convegno 2025 Candelieri A.Ponti A.Archetti F.
Resource Allocation via Bayesian Optimization: an Efficient Alternative to Semi-Bandit Feedback 02 - Intervento a convegno 2025 Candelieri A.
Bayesian Optimization for Instruction Generation 01 - Articolo su rivista 2024 Sabbatella A.Archetti F.Ponti A.Giordani I.Candelieri A.
Bayesian Optimization Using Simulation-Based Multiple Information Sources over Combinatorial Structures 01 - Articolo su rivista 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 01 - Articolo su rivista 2024 Crippa A.Candelieri A.Mauri M. +
Fair and green hyperparameter optimization via multi-objective and multiple information source Bayesian optimization 01 - Articolo su rivista 2024 Candelieri, APonti, AArchetti, F
Generating Informative Scenarios via Active Learning 03 - Contributo in libro 2024 Candelieri A.Chou X.Archetti F. A.Messina E.
Multi-model forecasting for finance 03 - Contributo in libro 2024 Candelieri A. +
Towards Full Forward On-Tiny-Device Learning: A Guided Search for a Randomly Initialized Neural Network 01 - Articolo su rivista 2024 Candelieri, A +
Wasserstein-Enabled Leaks Localization in Water Distribution Networks 01 - Articolo su rivista 2024 Ponti, AGiordani, ICandelieri, AArchetti, F
Distributional learning in multi-objective optimization of recommender systems 01 - Articolo su rivista 2023 Candelieri A.Ponti A.Giordani I.Bosio A.Archetti F.
Generative Models via Optimal Transport and Gaussian Processes 03 - Contributo in libro 2023 Candelieri, APonti, AArchetti, F
Intrusion Detection in Networks by Wasserstein Enabled Many-Objective Evolutionary Algorithms 01 - Articolo su rivista 2023 Andrea PontiAntonio CandelieriIlaria GiordaniFrancesco Archetti
On the Generalization of Projection-Based Gender Debiasing inWord Embedding 02 - Intervento a convegno 2023 Fersini, ECandelieri, A +
On the use of Wasserstein distance in the distributional analysis of human decision making under uncertainty 01 - Articolo su rivista 2023 Candelieri A.Ponti A.Giordani I.Archetti F.
Safe Optimal Control of Dynamic Systems: Learning from Experts and Safely Exploring New Policies 01 - Articolo su rivista 2023 Candelieri A.Ponti A.Fersini E.Messina E.Archetti F.
The role of hyper-parameters in relational topic models: Prediction capabilities vs topic quality 01 - Articolo su rivista 2023 Terragni S.Candelieri A.Fersini E.