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.