36 citations · 48 across the 22 of their papers we have counts for
5 papers · 1 filter
Gamifying optimization: a Wasserstein distance-based analysis of human search
Antonio Candelieri, Andrea Ponti, Francesco Archetti
The main objective of this paper is to outline a theoretical framework to characterise humans' decision-making strategies under uncertainty, in particular active learning in a blac…
Bayesian Optimization and Deep Learning forsteering wheel angle prediction
Alessandro Riboni, Nicolò Ghioldi, Antonio Candelieri +1
Automated driving systems (ADS) have undergone a significant improvement in the last years. ADS and more precisely self-driving cars technologies will change the way we perceive an…
Risk Aware Optimization of Water Sensor Placement
Antonio Candelieri, Andrea Ponti, Francesco Archetti
Optimal sensor placement (SP) usually minimizes an impact measure, such as the amount of contaminated water or the number of inhabitants affected before detection. The common choic…
MISO-wiLDCosts: Multi Information Source Optimization with Location Dependent Costs
Antonio Candelieri, Francesco Archetti
This paper addresses black-box optimization over multiple information sources whose both fidelity and query cost change over the search space, that is they are location dependent.…
Uncertainty quantification and exploration-exploitation trade-off in humans
Antonio Candelieri, Andrea Ponti, Francesco Archetti
The main objective of this paper is to outline a theoretical framework to analyse how humans' decision-making strategies under uncertainty manage the trade-off between information…