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All publications by Jieping Ye
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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


A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis
Pinghua Gong 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


HONOR: Hybrid Optimization for NOn-convex Regularized problems
Pinghua Gong 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


Rank-One Matrix Pursuit for Matrix Completion
Zheng Wang, Ming-jun Lai, Zhaosong Lu, Wei Fan, Hasan Davulcu 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


Geodesic Distance Function Learning via Heat Flow on Vector Fields
Binbin Lin, Ji Yang, Xiaofei He and Jieping Ye
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint
Ji Liu, Jieping Ye and Ryohei Fujimaki
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


Guaranteed Sparse Recovery under Linear Transformation
Ji Liu, Lei Yuan and Jieping Ye
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Joint Transfer and Batch-mode Active Learning
Rita Chattopadhyay, Wei Fan, Ian Davidson, Sethuraman Panchanathan and Jieping Ye
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems
Pinghua Gong, Changshui Zhang, Zhaosong Lu, Jianhua Huang and Jieping Ye
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


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


Efficient Sparse Group Feature Selection via Nonconvex Optimization
Shuo Xiang, Xiaoshen Tong and Jieping Ye
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Multi-Stage Multi-Task Feature Learning
Pinghua Gong, Jieping Ye and Chang-shui Zhang
Advances in Neural Information Processing Systems 25, 2012


Multi-task Vector Field Learning
Binbin Lin, Sen Yang, Chiyuan Zhang, Jieping Ye and Xiaofei He
Advances in Neural Information Processing Systems 25, 2012


Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis
Shuai Huang, Jing Li, Jieping Ye, Teresa Wu, Kewei Chen, Adam Fleisher and Eric Reiman
Advances in Neural Information Processing Systems 24, 2011


Clustered Multi-Task Learning Via Alternating Structure Optimization
Jiayu Zhou, Jianhui Chen and Jieping Ye
Advances in Neural Information Processing Systems 24, 2011


A Two-Stage Weighting Framework for Multi-Source Domain Adaptation
Qian Sun, Rita Chattopadhyay, Sethuraman Panchanathan and Jieping Ye
Advances in Neural Information Processing Systems 24, 2011


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


Multi-Stage Dantzig Selector
Ji Liu, Peter Wonka and Jieping Ye
Advances in Neural Information Processing Systems 23, 2010


Online learning by ellipsoid method
Liu Yang, Rong Jin and Jieping Ye
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Non-monotonic feature selection
Zenglin Xu, Rong Jin, Jieping Ye, Michael R. Lyu and Irwin King
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


A least squares formulation for a class of generalized eigenvalue problems in machine learning
Liang Sun, Shuiwang Ji and Jieping Ye
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


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


An accelerated gradient method for trace norm minimization
Shuiwang Ji 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


Multi-class Discriminant Kernel Learning via Convex Programming
Jieping Ye, Shuiwang Ji and Jianhui Chen
Journal of Machine Learning Research, 2008


Comments on the Complete Characterization of a Family of Solutions to a Generalized {\it Fisher} Criterion
Jieping Ye
Journal of Machine Learning Research, 2008


A least squares formulation for canonical correlation analysis
Liang Sun, Shuiwang Ji and Jieping Ye
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Training SVM with indefinite kernels
Jianhui Chen and Jieping Ye
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Multi-label Multiple Kernel Learning
Shuiwang Ji, Liang Sun, Rong Jin and Jieping Ye
Advances in Neural Information Processing Systems 21, 2008


Discriminant kernel and regularization parameter learning via semidefinite programming
Jieping Ye, Jianhui Chen and Shuiwang Ji
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Least squares linear discriminant analysis
Jieping Ye
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Discriminative K-means for Clustering
Jieping Ye, Zheng Zhao and Mingrui Wu
Advances in Neural Information Processing Systems 20, 2007


SVM versus Least Squares SVM
Jieping Ye and Tao Xiong
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


Null space versus orthogonal linear discriminant analysis
Jieping Ye and Tao Xiong
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Computational and Theoretical Analysis of Null Space and Orthogonal Linear Discriminant Analysis
Jieping Ye and Tao Xiong
Journal of Machine Learning Research, 2006


Characterization of a Family of Algorithms for Generalized Discriminant Analysis on Undersampled Problems
Jieping Ye
Journal of Machine Learning Research, 2005


Feature extraction via generalized uncorrelated linear discriminant analysis
Jieping Ye, Ravi Janardan, Qi Li and Haesun Park
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Generalized low rank approximations of matrices
Jieping Ye
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Efficient Kernel Discriminant Analysis via QR Decomposition
Tao Xiong, Jieping Ye, Qi Li, Ravi Janardan and Vladimir Cherkassky
Advances in Neural Information Processing Systems 17, 2004


Two-Dimensional Linear Discriminant Analysis
Jieping Ye, Ravi Janardan and Qi Li
Advances in Neural Information Processing Systems 17, 2004