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Part 1: Document Description
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Citation |
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Title: |
Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression |
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Identification Number: |
doi:10.18419/darus-1771 |
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Distributor: |
DaRUS |
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Date of Distribution: |
2021-03-23 |
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Version: |
1 |
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Bibliographic Citation: |
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 |
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Citation |
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Title: |
Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression |
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Identification Number: |
doi:10.18419/darus-1771 |
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Authoring Entity: |
Holzmüller, David (Universität Stuttgart) |
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Grant Number: |
EXC 2075 - 390740016 |
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Distributor: |
DaRUS |
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Access Authority: |
Holzmüller, David |
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Access Authority: |
Holzmüller, David |
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Access Authority: |
Steinwart, Ingo |
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Depositor: |
Holzmüller, David |
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Date of Deposit: |
2021-03-16 |
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Holdings Information: |
https://doi.org/10.18419/darus-1771 |
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Study Scope |
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Keywords: |
Computer and Information Science, Mathematical Sciences |
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Abstract: |
This dataset contains code used to generate the figures in the paper <em>On the Universality of the Double Descent Peak in Ridgeless Regression, David Holzmüller, International Conference on Learning Representations 2021</em>. The code is also provided on <a href=https://github.com/dholzmueller/universal_double_descent>GitHub</a>. Here, we additionally provide the data that is generated by the code and that is required to generate the plots. To use this data, simply unpack the (large!) file <code>data.tar.gz</code> inside the folder where the Python files are located. If the data is not downloaded and unpacked, the code will automatically compute it, which can take about one day on a 6-core-CPU. Information on the code and used software can be found in the file README.md. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
David Holzmüller. On the Universality of the Double Descent Peak in Ridgeless Regression. International Conference on Learning Representations, 2021. |
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Identification Number: |
2010.01851 |
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Bibliographic Citation: |
David Holzmüller. On the Universality of the Double Descent Peak in Ridgeless Regression. International Conference on Learning Representations, 2021. |
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Label: |
computation.py |
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Notes: |
text/x-python |
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data.tar.gz |
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Text: |
Data generated by running the code |
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Notes: |
application/gzip |
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main.py |
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Notes: |
text/x-python |
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plotting.py |
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Notes: |
text/x-python |
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README.md |
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Notes: |
text/markdown |
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sampling.py |
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Notes: |
text/x-python |
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Label: |
utils.py |
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Notes: |
text/x-python |