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All publications by Jun Liu
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Safe Screening with Variational Inequalities and Its Application to Lasso
Jun Liu, Zheng Zhao, Jie Wang and Jieping Ye
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


A Safe Screening Rule for Sparse Logistic Regression
Jie Wang, Jiayu Zhou, Jun Liu, Peter Wonka and Jieping Ye
Advances in Neural Information Processing Systems 27, 2014


Inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method
Kai Zhang, Liang Lan, Jun Liu, Andreas Rauber and Fabian Moerchen
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Projection onto A Nonnegative Max-Heap
Jun Liu, Liang Sun and Jieping Ye
Advances in Neural Information Processing Systems 24, 2011


Efficient Methods for Overlapping Group Lasso
Lei Yuan, Jun Liu and Jieping Ye
Advances in Neural Information Processing Systems 24, 2011


Moreau-Yosida Regularization for Grouped Tree Structure Learning
Jun Liu and Jieping Ye
Advances in Neural Information Processing Systems 23, 2010


The Group Dantzig Selector
Han Liu, Jian Zhang, Xiaoye Jiang and Jun Liu
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Efficient Euclidean projections in linear time
Jun Liu and Jieping Ye
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


A convex formulation for learning shared structures from multiple tasks
Jianhui Chen, Lei Tang, Jun Liu and Jieping Ye
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Efficient Recovery of Jointly Sparse Vectors
Liang Sun, Jun Liu, Jianhui Chen and Jieping Ye
Advances in Neural Information Processing Systems 22, 2009


Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data
Shuai Huang, Jing Li, Liang Sun, Jun Liu, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman and Jieping Ye
Advances in Neural Information Processing Systems 22, 2009