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Optimal Regularization for a Data Source
Oscar Leong, Eliza O'Reilly, Yong Sheng Soh +1
In optimization-based approaches to inverse problems and to statistical estimation, it is common to augment criteria that enforce data fidelity with a regularizer that promotes des…
math.OC2022
Kronecker Product Approximation of Operators in Spectral Norm via Alternating SDP
Mareike Dressler, André Uschmajew, Venkat Chandrasekaran
The decomposition or approximation of a linear operator on a matrix space as a sum of Kronecker products plays an important role in matrix equations and low-rank modeling. The appr…