 Lp- and Risk Consistency of Localized SVMsNeurocomputing (Neurocomputing), 2023 |
 Iterative regularization in classification via hinge loss diagonal
descentInverse Problems (IP), 2022 |
 From inexact optimization to learning via gradient concentrationComputational optimization and applications (COA), 2021 |
 Learning with Gradient Descent and Weakly Convex LossesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 |
 The Statistical Complexity of Early-Stopped Mirror DescentNeural Information Processing Systems (NeurIPS), 2020 |
 Adaptive Ensemble of Classifiers with Regularization for Imbalanced Data
ClassificationInformation Fusion (Inf. Fusion), 2019 |
 Improved Classification Rates for Localized SVMsJournal of machine learning research (JMLR), 2019 |
