https://github.com/cvxgrp/rerm_code
Public code for Robust Empirical Risk Minimization Paper
Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: arxiv.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (2.5%) to scientific vocabulary
Last synced: 10 months ago
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JSON representation
Repository
Public code for Robust Empirical Risk Minimization Paper
Basic Info
- Host: GitHub
- Owner: cvxgrp
- Language: Python
- Default Branch: main
- Size: 358 KB
Statistics
- Stars: 2
- Watchers: 3
- Forks: 1
- Open Issues: 0
- Releases: 0
Created about 3 years ago
· Last pushed over 2 years ago
Metadata Files
Readme
README.md
rerm_code
Public code for the paper Specifying and Solving Robust Empirical Risk Minimization Problems Using CVXPY.
To generate bar plot from paper, run the main.py file.
The helper_func.py file contains the helper function described in the Appendix of the paper.
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
GitHub Events
Total
- Watch event: 1
- Fork event: 1
Last Year
- Watch event: 1
- Fork event: 1
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0