5 citations · 7 across the 10 of their papers we have counts for
4 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…
Multi-Task Learning on Networks
Andrea Ponti
The multi-task learning (MTL) paradigm can be traced back to an early paper of Caruana (1997) in which it was argued that data from multiple tasks can be used with the aim to obtai…
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…
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…