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Communication Dans Un Congrès Année : 2021

Incremental elicitation of preferences: optimist or pessimist?

Résumé

In robust incremental elicitation, it is quite common to make recommendations and to select queries by using a minimax regret criterion, which corresponds to a pessimistic attitude. In this paper, we explore its optimistic counterpart, showing this new approach enjoys the same convergence properties. While this optimistic approach does not offer the same kind of guarantees than minimax approaches, it still offers some other interesting properties. Finally, we illustrate with some experiments that the best approach amongst the two approaches heavily depends on the underlying setting.
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Dates et versions

hal-03521735 , version 1 (11-01-2022)

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Loïc Adam, Sébastien Destercke. Incremental elicitation of preferences: optimist or pessimist?. 7th International Conference on Algorithmic Decision Theory (ADT 2021), Nov 2021, Toulouse, France. pp.71-85, ⟨10.1007/978-3-030-87756-9_5⟩. ⟨hal-03521735⟩
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