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12/02/2022
Gaussian Process regression over discrete probability measures: on the non-stationarity relation between Euclidean and Wasserstein Squared Exponential Kernels
Gaussian Process regression is a kernel method successfully adopted in m...
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10/12/2022
BORA: Bayesian Optimization for Resource Allocation
Optimal resource allocation is gaining a renewed interest due its releva...
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05/18/2022
Fair and Green Hyperparameter Optimization via Multi-objective and Multiple Information Source Bayesian Optimization
There is a consensus that focusing only on accuracy in searching for opt...
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12/12/2021
Gamifying optimization: a Wasserstein distance-based analysis of human search
The main objective of this paper is to outline a theoretical framework t...
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03/08/2021
Risk Aware Optimization of Water Sensor Placement
Optimal sensor placement (SP) usually minimizes an impact measure, such ...
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02/09/2021
MISO-wiLDCosts: Multi Information Source Optimization with Location Dependent Costs
This paper addresses black-box optimization over multiple information so...
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06/25/2020
Green Machine Learning via Augmented Gaussian Processes and Multi-Information Source Optimization
Searching for accurate Machine and Deep Learning models is a computation...
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03/09/2020
Modelling Human Active Search in Optimizing Black-box Functions
Modelling human function learning has been the subject of in-tense resea...
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03/09/2020