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All publications by Jie Wang
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Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices
Jie Wang and Jieping Ye
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection
Jie Wang and Jieping Ye
Advances in Neural Information Processing Systems 28, 2015


Scaling SVM and Least Absolute Deviations via Exact Data Reduction
Jie Wang, Peter Wonka and Jieping Ye
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models
Jie Wang, Qingyang Li, Sen Yang, Wei Fan, Peter Wonka and Jieping Ye
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


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


Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets
Jie Wang and Jieping Ye
Advances in Neural Information Processing Systems 27, 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


Lasso Screening Rules via Dual Polytope Projection
Jie Wang, Jiayu Zhou, Peter Wonka and Jieping Ye
Advances in Neural Information Processing Systems 26, 2013