https://github.com/cvxgrp/joint-lrsm
Joint graph learning and model fitting in Laplacian Regularized Stratified Models
Science Score: 23.0%
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○Scientific vocabulary similarity
Low similarity (5.7%) to scientific vocabulary
Repository
Joint graph learning and model fitting in Laplacian Regularized Stratified Models
Basic Info
- Host: GitHub
- Owner: cvxgrp
- License: apache-2.0
- Language: Python
- Default Branch: main
- Size: 215 KB
Statistics
- Stars: 4
- Watchers: 4
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
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},
}
Owner
- Name: Stanford University Convex Optimization Group
- Login: cvxgrp
- Kind: organization
- Location: Stanford, CA
- Website: www.stanford.edu/~boyd
- Repositories: 102
- Profile: https://github.com/cvxgrp
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