105 citations · 130 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 3 cited
Personalized Algorithmic Recourse with Preference Elicitation
Giovanni De Toni, Paolo Viappiani, Stefano Teso +2
Algorithmic Recourse (AR) is the problem of computing a sequence of actions that -- once performed by a user -- overturns an undesirable machine decision. It is paramount that the…
stat.ML2016★ 22 cited
Constructive Preference Elicitation by Setwise Max-margin Learning
Stefano Teso, Andrea Passerini, Paolo Viappiani
In this paper we propose an approach to preference elicitation that is suitable to large configuration spaces beyond the reach of existing state-of-the-art approaches. Our setwise…
cs.AI2011★ 105 cited
Preference-based Search using Example-Critiquing with Suggestions
B. Faltings, P. Pu, P. Viappiani
We consider interactive tools that help users search for their most preferred item in a large collection of options. In particular, we examine example-critiquing, a technique for e…