MTPL

Multi-Task Personalized Learning with Sparse Network Lasso

https://www.ijcai.org/proceedings/2022/488

A submission to the 31st International Joint Conference on Artificial Intelligence (IJCAI-22).

Usage

Please run 'MTPL_toyData.m' to demonstrate the structured sparsity recovered by MTPL on a synthetic dataset.

Please run 'MTPL_sarcos.m' to conduct experiment on the real-world data set SARCOS.

Citation

@inproceedings{wang2022,
  title     = {Multi-Task Personalized Learning with Sparse Network Lasso},
  author    = {Wang, Jiankun and Sun, Lu},
  booktitle = {Proceedings of the Thirty-First International Joint Conference on
               Artificial Intelligence, {IJCAI-22}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Lud De Raedt},
  pages     = {3516--3522},
  year      = {2022},
  month     = {7},
  note      = {Main Track}
  doi       = {10.24963/ijcai.2022/488},
  url       = {https://doi.org/10.24963/ijcai.2022/488},
}