3 papers
stat.ML2022
Skeptical inferences in multi-label ranking with sets of probabilities
Yonatan Carlos Carranza Alarcón, Vu-Linh Nguyen
In this paper, we consider the problem of making skeptical inferences for the multi-label ranking problem. We assume that our uncertainty is described by a convex set of probabilit…
stat.ML2022
Skeptical binary inferences in multi-label problems with sets of probabilities
Yonatan Carlos Carranza Alarcón, Sébastien Destercke
In this paper, we consider the problem of making distributionally robust, skeptical inferences for the multi-label problem, or more generally for Boolean vectors. By distributional…
stat.ML2021
Multi-label Chaining with Imprecise Probabilities
Yonatan Carlos Carranza Alarcón, Sébastien Destercke
We present two different strategies to extend the classical multi-label chaining approach to handle imprecise probability estimates. These estimates use convex sets of distribution…