2 papers
cs.LG2026
A Fully First-Order Layer for Differentiable Optimization
Zihao Zhao, Kai-Chia Mo, Shing-Hei Ho +2
Differentiable optimization layers enable learning systems to make decisions by solving embedded optimization problems. However, computing gradients via implicit differentiation re…
cs.LG2025
Untangling Lariats: Subgradient Following of Variationally Penalized Objectives
Kai-Chia Mo, Shai Shalev-Shwartz, Nisæl Shártov
We describe an apparatus for subgradient-following of the optimum of convex problems with variational penalties. In this setting, we receive a sequence and seek a…