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Finding a Sparse Vector in a Subspace: Linear Sparsity Using Alternating Directions.

, , and . IEEE Trans. Inf. Theory, 62 (10): 5855-5880 (2016)

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Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications., , , , , and . CoRR, (2020)Investigating the Catastrophic Forgetting in Multimodal Large Language Models., , , , , , and . CoRR, (2023)The Emergence of Reproducibility and Consistency in Diffusion Models., , , , , and . CoRR, (2023)Analysis of the Optimization Landscapes for Overcomplete Representation Learning., , , , and . CoRR, (2019)Structured Priors for Sparse-Representation-Based Hyperspectral Image Classification., , , and . CoRR, (2014)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)A Geometric Analysis of Phase Retrieval., , and . Found. Comput. Math., 18 (5): 1131-1198 (2018)Finding a Sparse Vector in a Subspace: Linear Sparsity Using Alternating Directions., , and . IEEE Trans. Inf. Theory, 62 (10): 5855-5880 (2016)Neural Collapse in Multi-label Learning with Pick-all-label Loss., , , and . CoRR, (2023)