Being Robust (in High Dimensions) Can Be Practical

Minimal implementation of

Ilias Diakonikolas, Gautam Kamath, Daniel M. Kane, Jerry Li, Ankur Moitra, and Alistair Stewart. Being robust (in high dimensions) can be practical. 34th International Conference on Machine Learning, ICML 2017, 3:1659–1689, 2017.

I closely followed the Matlab implementation. So I rather refer to the original code than the paper.

Installation

For the required dependencies please use:

pip install -r requirements.txt

With

pip install -r requirements-dev.txt

you install the development dependencies, e.g. for running unit tests.

Alternatively, you can use poetry for installing the dependencies:

poetry install

Getting started

Examples and description of the parameters are given in the docstrings.

Contributing

Feel free to open pull requests in case you would like to contribute. Please follow the angular commit message style.