Trimming the 1 regularizer: Statistical analysis, optimization, and applications to deep learningJihun YunPeng Zhenget al.2019ICML 2019
Sparse + Group-sparse dirty models: Statistical guarantees without unreasonable conditions and a case for non-convexityEunho YangAurelie C. Lozano2017ICML 2017
Closed-form estimators for high-dimensional generalized linear modelsEunho YangAurelie C. Lozanoet al.2015NeurIPS 2015
Robust Gaussian Graphical modeling with the Trimmed Graphical LassoEunho YangAurelie C. Lozano2015NeurIPS 2015
Elementary estimators for sparse covariance matrices and other structured momentsEunho YangAurelie C. Lozanoet al.2014ICML 2014
Elementary estimators for high-dimensional linear regressionEunho YangAurelie C. Lozanoet al.2014ICML 2014
AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep LearningJihun YunAurelie C. Lozanoet al.2022AISTATS 2022
A general family of trimmed estimators for robust high-dimensional data analysisEunho YangAurelie C. Lozanoet al.2018Electronic Journal of Statistics
XMRF: An R package to fit Markov Networks to high-throughput genetics dataYing-Wooi WanGenevera I. Allenet al.2016BMC Systems Biology