49 citations · 189 across the 32 of their papers we have counts for
3 papers · 1 filter
Decomposition Strategies for Constructive Preference Elicitation
Paolo Dragone, Stefano Teso, Mohit Kumar +1
We tackle the problem of constructive preference elicitation, that is the problem of learning user preferences over very large decision problems, involving a combinatorial space of…
Interpretability in Linear Brain Decoding
Seyed Mostafa Kia, Andrea Passerini
Improving the interpretability of brain decoding approaches is of primary interest in many neuroimaging studies. Despite extensive studies of this type, at present, there is no for…
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…