
Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition
We study the problem of tensor robust principal component analysis (TRPC...
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Modewise Tensor Decompositions: Multidimensional Generalizations of CUR Decompositions
Low rank tensor approximation is a fundamental tool in modern machine le...
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A ZerothOrder Block Coordinate Descent Algorithm for HugeScale BlackBox Optimization
We consider the zerothorder optimization problem in the hugescale sett...
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Robust CUR Decomposition: Theory and Imaging Applications
This paper considers the use of Robust PCA in a CUR decomposition framew...
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Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation
Robust principal component analysis (RPCA) is a widely used tool for dim...
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SCOBO: SparsityAware Comparison Oracle Based Optimization
We study derivativefree optimization for convex functions where we furt...
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ZerothOrder Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling
We consider the problem of minimizing a highdimensional objective funct...
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Fast and Robust Spectrally Sparse Signal Recovery: A Provable NonConvex Approach via Robust LowRank Hankel Matrix Reconstruction
Consider a spectrally sparse signal x that consists of r complex sinusoi...
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HanQin Cai
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