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 |