Multi-Task Feature Interaction Learning (MTIL)
- Multi-Task Feature Interaction Learning. Kaixiang Lin, Jianpeng Xu, Inci M. Baytas, Shuiwang Ji, Jiayu Zhou KDD 2016. [Paper]
This project is based in part upon work supported by the National Science Foundation under Grant IIS-1565596 and Office of Naval Research N00014-14-1-0631.
|>MTLconvx: convex formulations ---- MTIL_L_Lc ---- MTIL_L_S ---- MTIL_S_Lc ---- MTIL_S_S
|>MTLnonconvx: nonconvex formulations ---- MTIL_L_Ln ---- MTIL_S_Ln
|>MTLlowrankW: multi-task baseline ---- MTL_L
|>STL_Least: single-task baseline ---- RR ---- STIL
|>cfiles: mex files for accelerating computation
|>datas: synthetic sample data
|>sparsa: PNOPT solver
|>utilities: utilities files for vectorizing matrics, etc.
script_run_cell_mtl_syn.m <--- run this to get a sample results. configurefile.m <--- tune parameters here.
PS: It's currently the code example for all methods in the paper, we will integrate this to the multi-task learning package MALSAR soon.