130 citations · 357 across the 15 of their papers we have counts for
3 papers · 1 filter
An Enriched Model of Strategic Voting under Uncertainty
Henri Surugue, Sébastien Destercke
We present a new strategic voting model where we use uncertainty representation to model preferences. Specifically, we use probability sets as uncertainty representations, together…
Upper Entropy for 2-Monotone Lower Probabilities
Tuan-Anh Vu, Sébastien Destercke, Frédéric Pichon
Uncertainty quantification is a key aspect in many tasks such as model selection/regularization, or quantifying prediction uncertainties to perform active learning or OOD detection…
Quantification of Credal Uncertainty: A Distance-Based Approach
Xabier Gonzalez-Garcia, Siu Lun Chau, Julian Rodemann +6
Credal sets, i.e., closed convex sets of probability measures, provide a natural framework to represent aleatoric and epistemic uncertainty in machine learning. Yet how to quantify…