4 papers · 1 filter
Adaptive Coverage Policies in Conformal Prediction
Etienne Gauthier, Francis Bach, Michael I. Jordan
Traditional conformal prediction methods construct prediction sets such that the true label falls within the set with a user-specified coverage level. However, poorly chosen covera…
Backward Conformal Prediction
Etienne Gauthier, Francis Bach, Michael I. Jordan
We introduce , a method that guarantees conformal coverage while providing flexible control over the size of prediction sets. Unlike standar…
Statistical Collusion by Collectives on Learning Platforms
Etienne Gauthier, Francis Bach, Michael I. Jordan
As platforms increasingly rely on learning algorithms, collectives may form and seek ways to influence these platforms to align with their own interests. This can be achieved by co…
E-Values Expand the Scope of Conformal Prediction
Etienne Gauthier, Francis Bach, Michael I. Jordan
Conformal prediction is a powerful framework for distribution-free uncertainty quantification. The standard approach to conformal prediction relies on comparing the ranks of predic…