3 papers
cs.LG2025
Sampling Imbalanced Data with Multi-objective Bilevel Optimization
Karen Medlin, Sven Leyffer, Krishnan Raghavan
Two-class classification problems are often characterized by an imbalance between the number of majority and minority datapoints resulting in poor classification of the minority cl…
cs.LG2024
A Bilevel Optimization Framework for Imbalanced Data Classification
Karen Medlin, Sven Leyffer, Krishnan Raghavan
Data rebalancing techniques, including oversampling and undersampling, are a common approach to addressing the challenges of imbalanced data. To tackle unresolved problems related…
math.OC2024
A Unified Funnel Restoration SQP Algorithm
David Kiessling, Sven Leyffer, Charlie Vanaret
We consider nonlinearly constrained optimization problems and discuss a generic double-loop framework consisting of four algorithmic ingredients that unifies a broad range of nonli…