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Median-Truncated Nonconvex Approach for Phase Retrieval With Outliers.

, , and . IEEE Trans. Inf. Theory, 64 (11): 7287-7310 (2018)

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Sensitivity to basis mismatch in compressed sensing., , , and . ICASSP, page 3930-3933. IEEE, (2010)Super-Resolution Image Reconstruction for High-Density Three-Dimensional Single-Molecule Microscopy., , , and . IEEE Trans. Computational Imaging, 3 (4): 763-773 (2017)Quantized Spectral Compressed Sensing: Cramer-Rao Bounds and Recovery Algorithms., and . CoRR, (2017)Learning Latent Features with Pairwise Penalties in Matrix Completion., , , and . CoRR, (2018)Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization., , , , and . CoRR, (2019)Spectral Compressed Sensing via Structured Matrix Completion., and . ICML (3), volume 28 of JMLR Workshop and Conference Proceedings, page 414-422. JMLR.org, (2013)Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix Estimation: Recent Theory and Fast Algorithms via Convex and Nonconvex Optimization., and . IEEE Signal Process. Mag., 35 (4): 14-31 (2018)Vector-Valued Graph Trend Filtering With Non-Convex Penalties., , , and . IEEE Trans. Signal and Information Processing over Networks, (2020)Low-Rank Positive Semidefinite Matrix Recovery From Corrupted Rank-One Measurements., , and . IEEE Trans. Signal Process., 65 (2): 397-408 (2017)Guaranteed Recovery of One-Hidden-Layer Neural Networks via Cross Entropy., , and . IEEE Trans. Signal Process., (2020)