Author

Yuankun Chen

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#machine learning Preprint Sep 2026

lapanda: A Matrix-Free Differentiable Solver for Nonconvex Constrained Optimization Layers

Differentiable optimization brings the structural guarantees of mathematical optimization to network pipelines, allowing them to be trained end-to-end. However, its application remains challenging for nonconvex constrained problems, as existing differentiable solvers often suffer from limited modeling expressiveness du...

Yuan-Kun Chen, Zi-Fei Nie, Kang-Yu Lin et al. · 0 citations

Preprint Aug 2026

PANDA: A Matrix-Free Differentiable NMPC Solver via Proximal Averaged Quasi-Newton with Adaptive Linesearch Algorithm

PANDA is proposed, a matrix-free solver for differentiable NMPC that achieves much faster forward and backward computation and lower memory overhead than representative differentiable optimization solvers, while maintaining effective imitation learning performance.

Yuan-Kun Chen, Zi-Fei Nie, Xun Gong et al. · 1 citation