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MALSAR: Multi-task learning via Structural Regularization

The MALSAR (Multi-tAsk Learning via StructurAl Regularization) package includes the following multi-task learning algorithms:

• Mean-Regularized Multi-Task Learning
• Multi-Task Learning with Joint Feature Selection
• Robust Multi-Task Feature Learning
• Trace-Norm Regularized Multi-Task Learning
• Alternating Structural Optimization
• Incoherent Low-Rank and Sparse Learning
• Robust Low-Rank Multi-Task Learning
• Clustered Multi-Task Learning
• Multi-Task Learning with Graph Structures
• Disease Progression Models
• Incomplete Multi-Source Fusion (iMSF)
• Multi-Stage Multi-Source Fusion
• Multi-Task Clustering
• Multi-Task Calibration

If you have any questions regarding MALSAR, please contact Jiayu Zhou at jiayu.zhou@asu.edu.