arXiv · 2603.13491
Beyond First-Order Methods for $\ell_p$-Structured Non-Monotone Variational Inequalities
Abstract
We propose novel high-order algorithms for a class of $\ell_p$-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 $\rho$. However, for the $\ell_p$-norm stationary point setting ($p \neq 2$), their guarantees are limited to $\rho=0$, which recovers the standard MVI setting. In this work, we address this gap by presenting a suite of high-order methods that converge to $\ell_p$-norm stationary points for a suitable range of $\rho > 0$, thereby circumventing previous fundamental challenges in $\ell_p$ settings. We further show convergence for high-order smooth \textit{monotone} operators, generalizing Adil et al. (2022) to the case where $p \geq 2$, and we extend our Euclidean techniques to continuous-time settings.
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Abhijeet Vyas, Brian Bullins. 2026-03-13. Beyond First-Order Methods for $\ell_p$-Structured Non-Monotone Variational Inequalities. https://arxiv.org/abs/2603.13491
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