Name	Name	Last commit message	Last commit date
parent directory ..
Learning From Unbalanced Data	Learning From Unbalanced Data
Split Learning	Split Learning
Tabular DL	Tabular DL
README.md	README.md
environment.yaml	environment.yaml

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Experiments from "Aligning Distributionally Robust Optimization with Practical Deep Learning Needs"

This folder contains the code for experiments reproduction from the paper "Aligning Distributionally Robust Optimization with Practical Deep Learning Needs". Each experimental subsection is placed in its own folder:

To reproduce the results, you should setup the environment and then visit the folder corresponding to the experiment you are interested in.

Set up the environment

Install any of the following tools, and follow the remaining instructions.

With Micromamba:

micromamba create -f environment.yaml
micromamba activate also

With Mamba:

mamba create -f environment.yaml
mamba activate also

With Conda:

conda create -f environment.yaml -n tabm
conda activate also