A least squares formulation for canonical correlation analysis
An accelerated gradient method for trace norm minimization
Multi-Task Feature Interaction Learning
Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning
A shared-subspace learning framework for multi-label classification
Canonical Correlation Analysis for Multilabel Classification: A Least-Squares Formulation, Extensions, and Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD ’16
Proceedings of the 26th Annual International Conference on Machine Learning - ICML ’09
ACM Transactions on Knowledge Discovery from Data
Bioinformatics
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD ’09
Jieping Ye
Liang Sun
Sudhir Kumar
Inci M. Baytas
Jianpeng Xu
Kaixiang Lin
Learning incoherent sparse and low-rank patterns from multiple tasks
Exploring Shared Subspace and Joint Sparsity for Canonical Correlation Analysis
Efficient multi-task feature learning with calibration
ChIP-PIT: Enhancing the Analysis of ChIP-Seq Data Using Convex-Relaxed Pair-Wise Interaction Tensor Decomposition
Optimization of Gene Set Annotations Using Robust Trace-Norm Multitask Learning
Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks