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Distributionally Robust Formulation and Model Selection for the Graphical Lasso

Project description

Robust Selection

PyPI version Binder

Python Package by C Tran, P Cisneros-Velarde, A Petersen and S-Y Oh

This repository provides a Python package for Robust Selection algorithm for estimation of the graphical lasso regularization parameter.

P Cisneros-Velarde, A Petersen and S-Y Oh (2020). Distributionally Robust Formulation and Model Selection for the Graphical Lasso. Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics. [PMLR][Papers with Code]

CV vs. RobSel

Dependencies

The code contained in this repository was tested on the following configuration of Python:

  • python=3.7.4
  • robust-selection=0.0.7
  • numpy=1.17.4
  • scipy=1.3.1
  • scikit-learn=0.22.1
  • networkx=2.4
  • pandas=0.25.3

Installation

pip install robust-selection

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