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math.OC2026
Residual-Controlled Douglas--Rachford Splitting for Differentiable Solver Layers
Kang Liu, Jianchen Hu
Differentiable solver layers embed constrained optimization into end-to-end learning systems, but fixed-depth unrolling must trade off solution quality, feasibility, and computatio…
math.OC2025
Learning based convex approximation for constrained parametric optimization
Kang Liu, Wei Peng, Jianchen Hu
We propose an input convex neural network (ICNN)-based self-supervised learning framework to solve continuous constrained optimization problems. By integrating the augmented Lagran…