Conditional Gradients For The Approximately Vanishing Ideal

Last update: May 25, 2022

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Overview

Conditional Gradients For The Approximately Vanishing Ideal

Code for the paper:

Wirth, E., and Pokutta, S. (2022). Conditional Gradients for the Approximately Vanishing Ideal. To Appear in Proceedings of AISTATS.

Installation guide

Download the repository and store it in your preferred location, say ~/tmp.

Open your terminal and navigate to ~/tmp.

Run the command:

$ conda env create --file environment.yml

This will create the conda environment approximately_vanishing_ideal.

Activate the conda environment with:

$ conda activate approximately_vanishing_ideal

In the file global_.py, change the value of gpu_memory_ to the maximum amount of gpu you wish to use to perform computations.

Run the tests:

>>> python3 -m unittest

No errors should occur.

Execute the experiments:

>>> python3 experiments.py

This will create a folder named data_frames, which continues subfolders containing the experiment results.

The experiments can be displayed as latex_code by executing:

>>> experiments_results.py

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Conditional Gradients For The Approximately Vanishing Ideal

Related tags

Overview

Conditional Gradients For The Approximately Vanishing Ideal

Installation guide

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Releases(v2.0.0)

v2.0.0(Sep 12, 2022)

v1.0.0(Jan 31, 2022)

Owner

IOL Lab @ ZIB

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