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Mar 23, 2021
Holzmüller, David, 2021, "Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression", https://doi.org/10.18419/darus-1771, DaRUS, V1
This dataset contains code used to generate the figures in the paper On the Universality of the Double Descent Peak in Ridgeless Regression, David Holzmüller, International Conference on Learning Representations 2021. The code is also provided on GitHub. Here, we additionally pro... |
Mar 23, 2021 -
Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression
Python Source Code - 16.2 KB -
MD5: 727ea9050972d03f12c6aa5b32b7e37c
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Mar 23, 2021 -
Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression
Gzip Archive - 5.6 GB -
MD5: 220970917c2371206a808c02bbb9f359
Data generated by running the code |
Mar 23, 2021 -
Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression
Python Source Code - 2.7 KB -
MD5: d298130fc29f0a84b33b58ad0d100a06
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Mar 23, 2021 -
Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression
Python Source Code - 15.3 KB -
MD5: 9017e22f361d3ee27b7fa52a241a2834
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Mar 23, 2021 -
Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression
Markdown Text - 1.6 KB -
MD5: d2572a82e8003c56d0307012ac4069d8
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Mar 23, 2021 -
Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression
Python Source Code - 11.1 KB -
MD5: 1a719b0984045eca7ce97bc54b4b9e2b
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Mar 23, 2021 -
Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression
Python Source Code - 2.6 KB -
MD5: f921b3cd6389ea9f8e4707a3655a75f7
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