1 citations · 1 across the 2 of their papers we have counts for
2 papers
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…
math.OC2023★ 1 cited
Mean field optimization problems: stability results and Lagrangian discretization
Kang Liu, Laurent Pfeiffer
We formulate and investigate a mean field optimization (MFO) problem over a set of probability distributions with a prescribed marginal . The cost function depends on an agg…