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Block-Term Tensor Decomposition Via Constrained Matrix Factorization.

, and . MLSP, page 1-6. IEEE, (2019)

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Detecting Overlapping and Correlated Communities without Pure Nodes: Identifiability and Algorithm., and . ICML, volume 97 of Proceedings of Machine Learning Research, page 2859-2868. PMLR, (2019)Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms., , , and . NeurIPS, page 7845-7855. (2019)Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems., , , , and . NeurIPS, (2020)Streaming Tensor Factorization for Infinite Data Sources., , , and . SDM, page 81-89. SIAM, (2018)Vulture: VULnerabilities in impuTing drUg REsistance., , , and . BCB, page 56:1-56:6. ACM, (2023)Perturbed Projected Gradient Descent Converges to Approximate Second-order Points for Bound Constrained Nonconvex Problems., , , and . ICASSP, page 5356-5360. IEEE, (2019)Adaptive Learning for the Resource-Constrained Classification Problem., , , , and . CoRR, (2022)Phase Retrieval Using Feasible Point Pursuit: Algorithms and Cramér-Rao Bound., , , , and . CoRR, (2015)Joint Tensor Factorization and Outlying Slab Suppression With Applications., , , , and . IEEE Trans. Signal Process., 63 (23): 6315-6328 (2015)On convexity and identifiability in 1-D Fourier phase retrieval., , and . ICASSP, page 3941-3945. IEEE, (2016)