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math.OC2026
Difference-of-Convex Regularization for Graph Learning by Differentiable Programming
Liping Tao, Chee Wei Tan
Laplacian-regularized minimization is fundamental in signal processing and machine learning, but explicit construction of the dense graph Laplacian pseudoinverse can be computation…
math.OC2026
Accelerating Regularized Attention Kernel Regression for Spectrum Cartography
Liping Tao, Chee Wei Tan
Spectrum cartography reconstructs spatial radio fields from sparse and heterogeneous wireless measurements, underpinning many sensing and optimization tasks in wireless networks. A…