activity
20092023
most citedAn Axiomatic Approach to Robustness in Search Problems with Multiple Scenarios

16 citations · 22 across the 10 of their papers we have counts for

collaborators

11 papers

cs.AI2023

Robust Ordinal Regression for Subsets Comparisons with Interactions

Hugo Gilbert, Mohamed Ouaguenouni, Meltem Ozturk +1

This paper is dedicated to a robust ordinal method for learning the preferences of a decision maker between subsets. The decision model, derived from Fishburn and LaValle (1996) an…

cs.AI2022★ 1 cited

Cautious Learning of Multiattribute Preferences

Hugo Gilbert, Mohamed Ouaguenouni, Meltem Ozturk +1

This paper is dedicated to a cautious learning methodology for predicting preferences between alternatives characterized by binary attributes (formally, each alternative is seen as…

math.MG2022

Euclidean preferences in the plane under , and norms

Bruno Escoffier, Olivier Spanjaard, Magdaléna Tydrichová

We present various results about Euclidean preferences in the plane under , and norms. When there are four candidates, we show that the maximal siz…

cs.DM2021

Weighted majority tournaments and Kemeny ranking with 2-dimensional Euclidean preferences

Bruno Escoffier, Olivier Spanjaard, Magdaléna Tydrichová

The assumption that voters' preferences share some common structure is a standard way to circumvent NP-hardness results in social choice problems. While the Kemeny ranking problem…

cs.AI2020

Bayesian preference elicitation for multiobjective combinatorial optimization

Nadjet Bourdache, Patrice Perny, Olivier Spanjaard

We introduce a new incremental preference elicitation procedure able to deal with noisy responses of a Decision Maker (DM). The originality of the contribution is to propose a Baye…

cs.GT2020

Recognizing Single-Peaked Preferences on an Arbitrary Graph: Complexity and Algorithms

Bruno Escoffier, Olivier Spanjaard, Magdaléna Tydrichová

This paper is devoted to a study of single-peakedness on arbitrary graphs. Given a collection of preferences (rankings of a set of alternatives), we aim at determining a connected…