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Fast and Robust Spectrally Sparse Signal Recovery: A Provable Non-Convex Approach via Robust Low-Rank Hankel Matrix Reconstruction.

, , , and . CoRR, (2019)

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SCOBO: Sparsity-Aware Comparison Oracle Based Optimization., , , and . CoRR, (2020)Structured Gradient Descent for Fast Robust Low-Rank Hankel Matrix Completion., , and . SIAM J. Sci. Comput., 45 (3): 1172-1198 (June 2023)Towards Constituting Mathematical Structures for Learning to Optimize., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 21426-21449. PMLR, (2023)Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling., , , and . CoRR, (2020)Accelerated Alternating Projections for Robust Principal Component Analysis., , and . CoRR, (2017)Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition *., , , and . ICCVW, page 189-197. IEEE, (2021)A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 1193-1203. PMLR, (2021)Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection., , and . NeurIPS, page 16977-16989. (2021)On the Robustness of Cross-Concentrated Sampling for Matrix Completion., , , and . CISS, page 1-5. IEEE, (2024)Fast and Robust Spectrally Sparse Signal Recovery: A Provable Non-Convex Approach via Robust Low-Rank Hankel Matrix Reconstruction., , , and . CoRR, (2019)