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Joint graph learning and model fitting in Laplacian Regularized Stratified Models

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joint-lrsm

Joint graph learning and model fitting in Laplacian Regularized Stratified Models

This code repo implements the algorithms and baselines in our paper Joint Graph Learning and Model Fitting in Laplacian Regularized Stratified Models.

Running the experiments

python main.py --config [config file]

Here config file is the directory of some YAML file in configs/.

For example, to reproduce experiments on concrete dataset, just run

python main.py --config concrete.yml

Citing

If you wish to cite us, please use the following BibTex entry:

@article{jointlrsm2023,
  author = {Ziheng Cheng and Junzi Zhang and Akshay Agrawal and Stephen Boyd},
  title = {Joint Graph Learning and Model Fitting in Laplacian Regularized Stratified Models},
  year = {2023},
  journal = {arXiv preprint arXiv:2305.02573},
}

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