Author

Liping Tao

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Preprint Aug 2026

Difference-of-Convex Regularization for Graph Learning by Differentiable Programming

By reformulating Laplacian-Regularized Nonnegative Least Squares (LR-NNLS) through a dual representation, DCR decouples pseudoinverse learning from instance-specific inference and enables efficient primal solution reconstruction via a differentiable dual-guided learning scheme.

Li-Ping Tao, Chee-Wei Tan · 0 citations

#machine learning Review Jan 2026

Learning to Optimize by Differentiable Programming

This tutorial demonstrates how duality-informed iterative schemes such as the alternating direction method of multipliers, and the primal-dual hybrid gradient can be learned and adapted through representative case studies.

Liping Tao, Xin-Di Tong, Chee-Wei Tan · arXiv.org · 4 citations