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2020 – today
- 2024
[j10]Antonio Candelieri
, Andrea Ponti, Francesco Archetti:
Fair and green hyperparameter optimization via multi-objective and multiple information source Bayesian optimization. Mach. Learn. 113(5): 2701-2731 (2024)- [c12]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
A Constrained-JKO Scheme for Effective and Efficient Wasserstein Gradient Flows. LION 2024: 66-80 - [c11]Antonio Sabbatella, Andrea Ponti, Ilaria Giordani, Francesco Archetti:
A Bayesian Approach for Prompt Optimization in LLMs. LION 2024: 348-360 - [i11]Andrea Ponti:
Graph data augmentation with Gromow-Wasserstein Barycenters. CoRR abs/2404.08376 (2024) - 2023
- [j9]Antonio Candelieri, Andrea Ponti, Ilaria Giordani, Francesco Archetti:
On the use of Wasserstein distance in the distributional analysis of human decision making under uncertainty. Ann. Math. Artif. Intell. 91(2-3): 217-238 (2023) - [j8]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Uncertainty quantification and exploration-exploitation trade-off in humans. J. Ambient Intell. Humaniz. Comput. 14(6): 6843-6876 (2023) - [j7]Antonio Candelieri, Andrea Ponti, Ilaria Giordani, Anna Bosio, Francesco Archetti:
Distributional learning in multi-objective optimization of recommender systems. J. Ambient Intell. Humaniz. Comput. 14(8): 10849-10865 (2023) - [j6]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Wasserstein enabled Bayesian optimization of composite functions. J. Ambient Intell. Humaniz. Comput. 14(8): 11263-11271 (2023) - [c10]Andrea Ponti, Ilaria Giordani, Antonio Candelieri, Francesco Archetti:
A Leak Localization Algorithm in Water Distribution Networks Using Probabilistic Leak Representation and Optimal Transport Distance. LION 2023: 31-45 - [c9]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Generative Models via Optimal Transport and Gaussian Processes. LION 2023: 135-149 - [c8]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Multi-Objective and Multiple Information Source Optimization for Fair & Green Machine Learning. NUMTA (1) 2023: 49-63 - [c7]Andrea Ponti, Francesco Archetti:
The Unreasonable Effectiveness of Optimal Transport Distance in the Design of Multi-Objective Evolutionary Optimization Algorithms. NUMTA (1) 2023: 151-164 - [i10]Antonio Sabbatella, Andrea Ponti, Antonio Candelieri, Ilaria Giordani, Francesco Archetti:
A Bayesian approach for prompt optimization in pre-trained language models. CoRR abs/2312.00471 (2023) - 2022
- [j5]Andrea Ponti, Ilaria Giordani, Matteo Mistri, Antonio Candelieri, Francesco Archetti:
The "Unreasonable" Effectiveness of the Wasserstein Distance in Analyzing Key Performance Indicators of a Network of Stores. Big Data Cogn. Comput. 6(4): 138 (2022) - [j4]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Explaining Exploration-Exploitation in Humans. Big Data Cogn. Comput. 6(4): 155 (2022) - [c6]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Safe-Exploration of Control Policies from Safe-Experience via Gaussian Processes. LION 2022: 232-247 - [c5]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Bayesian Optimization in Wasserstein Spaces. LION 2022: 248-262 - [c4]Andrea Ponti, Antonio Irpino, Antonio Candelieri, Anna Bosio, Ilaria Giordani, Francesco Archetti:
Network Vulnerability Analysis in Wasserstein Spaces. LION 2022: 263-277 - [i9]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Fair and Green Hyperparameter Optimization via Multi-objective and Multiple Information Source Bayesian Optimization. CoRR abs/2205.08835 (2022) - [i8]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
BORA: Bayesian Optimization for Resource Allocation. CoRR abs/2210.05977 (2022) - [i7]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Gaussian Process regression over discrete probability measures: on the non-stationarity relation between Euclidean and Wasserstein Squared Exponential Kernels. CoRR abs/2212.01310 (2022) - 2021
- [j3]Andrea Ponti, Antonio Candelieri, Ilaria Giordani, Francesco Archetti:
Probabilistic measures of edge criticality in graphs: a study in water distribution networks. Appl. Netw. Sci. 6(1): 81 (2021) - [j2]Andrea Ponti, Antonio Candelieri, Francesco Archetti:
A Wasserstein distance based multiobjective evolutionary algorithm for the risk aware optimization of sensor placement. Intell. Syst. Appl. 10-11: 200047 (2021) - [c3]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Data efficient learning of implicit control strategies in Water Distribution Networks. CASE 2021: 1812-1816 - [c2]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Risk aware optimization of water sensor placement. GECCO Companion 2021: 295-296 - [c1]Andrea Ponti, Antonio Candelieri, Francesco Archetti:
Optimal Sensor Placement by Distribution Based Multiobjective Evolutionary Optimization. LION 2021: 315-332 - [i6]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Uncertainty quantification and exploration-exploitation trade-off in humans. CoRR abs/2102.07647 (2021) - [i5]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Risk Aware Optimization of Water Sensor Placement. CoRR abs/2103.04862 (2021) - [i4]Andrea Ponti:
Multi-Task Learning on Networks. CoRR abs/2112.04891 (2021) - [i3]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Gamifying optimization: a Wasserstein distance-based analysis of human search. CoRR abs/2112.06292 (2021) - 2020
- [j1]Antonio Candelieri, Riccardo Perego, Ilaria Giordani, Andrea Ponti, Francesco Archetti:
Modelling human active search in optimizing black-box functions. Soft Comput. 24(23): 17771-17785 (2020) - [i2]Antonio Candelieri, Riccardo Perego, Ilaria Giordani, Andrea Ponti, Francesco Archetti:
Modelling Human Active Search in Optimizing Black-box Functions. CoRR abs/2003.04275 (2020) - [i1]Antonio Candelieri, Ilaria Giordani, Andrea Ponti, Francesco Archetti:
Resilience in urban networked infrastructure: the case of Water Distribution Systems. CoRR abs/2006.14622 (2020)
Coauthor Index
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