Andrea Ponti

According to our database, Andrea Ponti authored at least 25 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Fair and green hyperparameter optimization via multi-objective and multiple information source Bayesian optimization.

Antonio Candelieri, Andrea Ponti, Francesco Archetti

Mach. Learn., May, 2024

Graph data augmentation with Gromow-Wasserstein Barycenters.

Andrea Ponti

CoRR, 2024

2023

On the use of Wasserstein distance in the distributional analysis of human decision making under uncertainty.

Antonio Candelieri, Andrea Ponti, Ilaria Giordani, Francesco Archetti

Ann. Math. Artif. Intell., June, 2023

Distributional learning in multi-objective optimization of recommender systems.

Antonio Candelieri, Andrea Ponti, Ilaria Giordani, Anna Bosio, Francesco Archetti

J. Ambient Intell. Humaniz. Comput., 2023

Wasserstein enabled Bayesian optimization of composite functions.

Antonio Candelieri, Andrea Ponti, Francesco Archetti

J. Ambient Intell. Humaniz. Comput., 2023

Uncertainty quantification and exploration-exploitation trade-off in humans.

Antonio Candelieri, Andrea Ponti, Francesco Archetti

J. Ambient Intell. Humaniz. Comput., 2023

A Bayesian approach for prompt optimization in pre-trained language models.

Antonio Sabbatella, Andrea Ponti, Antonio Candelieri, Ilaria Giordani, Francesco Archetti

CoRR, 2023

A Leak Localization Algorithm in Water Distribution Networks Using Probabilistic Leak Representation and Optimal Transport Distance.

Andrea Ponti, Ilaria Giordani, Antonio Candelieri, Francesco Archetti

Proceedings of the Learning and Intelligent Optimization - 17th International Conference, 2023

Generative Models via Optimal Transport and Gaussian Processes.

Antonio Candelieri, Andrea Ponti, Francesco Archetti

Proceedings of the Learning and Intelligent Optimization - 17th International Conference, 2023

2022

Gaussian Process regression over discrete probability measures: on the non-stationarity relation between Euclidean and Wasserstein Squared Exponential Kernels.

Antonio Candelieri, Andrea Ponti, Francesco Archetti

CoRR, 2022

BORA: Bayesian Optimization for Resource Allocation.

Antonio Candelieri, Andrea Ponti, Francesco Archetti

CoRR, 2022

The "Unreasonable" Effectiveness of the Wasserstein Distance in Analyzing Key Performance Indicators of a Network of Stores.

Andrea Ponti, Ilaria Giordani, Matteo Mistri, Antonio Candelieri, Francesco Archetti

Big Data Cogn. Comput., 2022

Explaining Exploration-Exploitation in Humans.

Antonio Candelieri, Andrea Ponti, Francesco Archetti

Big Data Cogn. Comput., 2022

Network Vulnerability Analysis in Wasserstein Spaces.

Andrea Ponti, Antonio Irpino, Antonio Candelieri, Anna Bosio, Ilaria Giordani, Francesco Archetti

Proceedings of the Learning and Intelligent Optimization - 16th International Conference, 2022

Bayesian Optimization in Wasserstein Spaces.

Antonio Candelieri, Andrea Ponti, Francesco Archetti

Proceedings of the Learning and Intelligent Optimization - 16th International Conference, 2022

Safe-Exploration of Control Policies from Safe-Experience via Gaussian Processes.

Antonio Candelieri, Andrea Ponti, Francesco Archetti

Proceedings of the Learning and Intelligent Optimization - 16th International Conference, 2022

2021

A Wasserstein distance based multiobjective evolutionary algorithm for the risk aware optimization of sensor placement.

Andrea Ponti, Antonio Candelieri, Francesco Archetti

Intell. Syst. Appl., 2021

Gamifying optimization: a Wasserstein distance-based analysis of human search.

Antonio Candelieri, Andrea Ponti, Francesco Archetti

CoRR, 2021

Multi-Task Learning on Networks.

Andrea Ponti

CoRR, 2021

Probabilistic measures of edge criticality in graphs: a study in water distribution networks.

Andrea Ponti, Antonio Candelieri, Ilaria Giordani, Francesco Archetti

Appl. Netw. Sci., 2021

Optimal Sensor Placement by Distribution Based Multiobjective Evolutionary Optimization.

Andrea Ponti, Antonio Candelieri, Francesco Archetti

Proceedings of the Learning and Intelligent Optimization - 15th International Conference, 2021

Risk aware optimization of water sensor placement.

Antonio Candelieri, Andrea Ponti, Francesco Archetti

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Data efficient learning of implicit control strategies in Water Distribution Networks.

Antonio Candelieri, Andrea Ponti, Francesco Archetti

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020

Modelling human active search in optimizing black-box functions.

Antonio Candelieri, Riccardo Perego, Ilaria Giordani, Andrea Ponti, Francesco Archetti

Soft Comput., 2020

Resilience in urban networked infrastructure: the case of Water Distribution Systems.

Antonio Candelieri, Ilaria Giordani, Andrea Ponti, Francesco Archetti

CoRR, 2020