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Efficient Low-Dimensional Compression of Overparameterized Models.

, , , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 1009-1017. PMLR, (2024)

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Structured Priors for Sparse-Representation-Based Hyperspectral Image Classification., , , and . CoRR, (2014)Analysis of the Optimization Landscapes for Overcomplete Representation Learning., , , , and . CoRR, (2019)Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications, , , , , and . (2020)cite arxiv:2001.06970Comment: QQ and ZZ contributed equally to the work. Invited review paper for IEEE Signal Processing Magazine Special Issue on non-convex optimization for signal processing and machine learning. This article contains 26 pages with 11 figures.A Geometric Analysis of Neural Collapse with Unconstrained Features., , , , , , and . NeurIPS, page 29820-29834. (2021)On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features., , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 27179-27202. PMLR, (2022)Efficient Low-Dimensional Compression of Overparameterized Models., , , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 1009-1017. PMLR, (2024)Diffusion-Based Adversarial Purification for Robust Deep Mri Reconstruction., , , , and . ICASSP, page 12841-12845. IEEE, (2024)The Emergence of Reproducibility and Consistency in Diffusion Models., , , , , and . CoRR, (2023)Optimal Eye Surgeon: Finding image priors through sparse generators at initialization., , , , , and . ICML, OpenReview.net, (2024)Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation., , , and . ICML, OpenReview.net, (2024)