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math.OC2023
Convergence and complexity of block majorization-minimization for constrained block-Riemannian optimization
Yuchen Li, Laura Balzano, Deanna Needell +1
Block majorization-minimization (BMM) is a simple iterative algorithm for nonconvex optimization that sequentially minimizes a majorizing surrogate of the objective function in eac…
math.OC2023
Iterative Singular Tube Hard Thresholding Algorithms for Tensor Recovery
Rachel Grotheer, Shuang Li, Anna Ma +2
Due to the explosive growth of large-scale data sets, tensors have been a vital tool to analyze and process high-dimensional data. Different from the matrix case, tensor decomposit…
math.OC2023
Randomized Kaczmarz in Adversarial Distributed Setting
Longxiu Huang, Xia Li, Deanna Needell
Developing large-scale distributed methods that are robust to the presence of adversarial or corrupted workers is an important part of making such methods practical for real-world…