Beyond First-Order Methods for $\ell_p$-Structured Non-Monotone Variational Inequalities
Abstract
We propose novel high-order algorithms for a class of -structured non-monotone variational inequalities. In particular, work by Diakonikolas et al. (2021), which introduced the weak Minty variational inequality (weak-MVI) setting, showed how to find an approximate first-order Euclidean stationary point for a strictly positive range of the weak-MVI parameter . However, for the -norm stationary point setting (), their guarantees are limited to , which recovers the standard MVI setting. In this work, we address this gap by presenting a suite of high-order methods that converge to -norm stationary points for a suitable range of , thereby circumventing previous fundamental challenges in settings. We further show convergence for high-order smooth \textit{monotone} operators, generalizing Adil et al. (2022) to the case where , and we extend our Euclidean techniques to continuous-time settings.
Cite
@article{arxiv.2603.13491,
title = {Beyond First-Order Methods for $\ell_p$-Structured Non-Monotone Variational Inequalities},
author = {Abhijeet Vyas and Brian Bullins},
journal= {arXiv preprint arXiv:2603.13491},
year = {2026}
}