← Search

Jiongli Zhu

2 accepted papers

2024

Learning from Uncertain Data: From Possible Worlds to Possible Models

NeurIPS 2024poster

We introduce an efficient method for learning linear models from uncertain data, where uncertainty is represented as a set of possible variations in the data, leading to predictive multiplicity. Our approach leverages abstract interpretation and zonotopes, a type of convex polytope, to compactly rep…

Cited by 1SourcePDFScholar