Joseph Shenouda

2022202320242 7 5

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Robert D NowakKeith and Jane Morgan Nosbusch Professor in ECE, Grace Wahba Professor of Data ScienceVerified email at wisc.edu
Kangwook LeeUniversity of Wisconsin-MadisonVerified email at wisc.edu
Rahul ParhiÉcole polytechnique fédérale de LausanneVerified email at epfl.ch
Dimitris PapailiopoulosAssociate Professor, University of Wisconsin-MadisonVerified email at papail.io
Liu YangGraduate Student, University of Wisconsin, MadisonVerified email at wisc.edu
Jifan ZhangUniversity of Wisconsin-MadisonVerified email at wisc.edu
Waheed U. BajwaProfessor of Electrical & Computer Engineering and Statistics, Rutgers UniversityVerified email at rutgers.edu

Joseph Shenouda

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Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Vector-Valued Variation Spaces and Width Bounds for DNNs: Insights on Weight Decay Regularization J Shenouda, R Parhi, K Lee, RD Nowak arXiv preprint arXiv:2305.16534, 2023	8	2023
A Better Way to Decay: Proximal Gradient Training Algorithms for Neural Nets L Yang, J Zhang, J Shenouda, D Papailiopoulos, K Lee, RD Nowak NeurIPS 2022 Optimization for Machine Learning Workshop, 2022	3	2022
A Guide to Computational Reproducibility in Signal Processing and Machine Learning [Tips & Tricks] J Shenouda, WU Bajwa IEEE Signal Processing Magazine 40 (2), 141-151, 2023	2	2023
A Continuous Transform for Localized Ridgelets J Shenouda, R Parhi, RD Nowak 2023 International Conference on Sampling Theory and Applications (SampTA), 1-5, 2023	1	2023
PathProx: A Proximal Gradient Algorithm for Weight Decay Regularized Deep Neural Networks L Yang, J Zhang, J Shenouda, D Papailiopoulos, K Lee, RD Nowak arXiv preprint arXiv:2210.03069, 2022		2022

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