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Advances in deep learning. differentiable sparsity, overparameterization, and semi-structured regression
Advances in deep learning. differentiable sparsity, overparameterization, and semi-structured regression
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Kolb, Chris
2026
English
Universitätsbibliothek der Ludwig-Maximilians-Universität München
Kolb, Chris (2026): Advances in deep learning: differentiable sparsity, overparameterization, and semi-structured regression. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics
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DOI: 10.5282/edoc.36981
URN: urn:nbn:de:bvb:19-369816

Item Type:Theses (Dissertation, LMU Munich)
Faculties:Faculty of Mathematics, Computer Science and Statistics
Language:English
Date of oral examination:23. April 2026
1. Referee:Bischl, Bernd
MD5 Checksum of the PDF-file:0373887fc8aded971cce2bb72b1f5194
Signature of the printed copy:0001/UMC 31959
ID Code:36981
Deposited On:18. May 2026 12:28
Last Modified:20. May 2026 13:23
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