Search Results for author: Paolo Viappiani

Found 3 papers, 2 papers with code

Personalized Algorithmic Recourse with Preference Elicitation

1 code implementation27 May 2022 Giovanni De Toni, Paolo Viappiani, Stefano Teso, Bruno Lepri, Andrea Passerini

It is paramount that the sequence of actions does not require too much effort for users to implement.

Efficient Exploration

Constructive Preference Elicitation by Setwise Max-margin Learning

1 code implementation20 Apr 2016 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.

Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets

no code implementations NeurIPS 2010 Paolo Viappiani, Craig Boutilier

We show that, under very general assumptions, the optimal choice query w. r. t.\ EVOI coincides with \emph{optimal recommendation set}, that is, a set maximizing expected utility of the user selection.

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