In this repository we gather the code used for the reproducibility challenge based on the paper:
"Reconciling modern machine learning practice and the bias-variance trade-off"
by Mikhail Belkin, Daniel Hsu, Siyuan Ma, and Soumik Mandal.
The repo contains 3 folders which are structured as follows:
bin: contains non-source code files related to the project, e.g. the paper in pdf format.
code: containts all the code used for our reproducibility challenge.
report: contains the TeX files used to produce the final report.