dc.contributor.author | Lin, Tianyi | |
dc.contributor.author | Jordan, Michael I. | |
dc.date.accessioned | 2025-04-16T15:59:12Z | |
dc.date.available | 2025-04-16T15:59:12Z | |
dc.date.issued | 2024-03-13 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/159169 | |
dc.description.abstract | This paper settles an open and challenging question pertaining to the design of simple and optimal high-order methods for solving smooth and monotone variational inequalities (VIs). A VI involves finding x ⋆ ∈ X such that ⟨ F ( x ) , x - x ⋆ ⟩ ≥ 0 for all x ∈ X . We consider the setting in which F : R d → R d is smooth with up to ( p - 1 ) th -order derivatives. For p = 2 , the cubic regularization of Newton’s method has been extended to VIs with a global rate of O ( ϵ - 1 ) (Nesterov in Cubic regularization of Newton’s method for convex problems with constraints, Tech. rep., Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), 2006). An improved rate of O ( ϵ - 2 / 3 log log ( 1 / ϵ ) ) can be obtained via an alternative second-order method, but this method requires a nontrivial line-search procedure as an inner loop. Similarly, the existing high-order methods based on line-search procedures have been shown to achieve a rate of O ( ϵ - 2 / ( p + 1 ) log log ( 1 / ϵ ) ) (Bullins and Lai in SIAM J Optim 32(3):2208–2229, 2022; Jiang and Mokhtari in Generalized optimistic methods for convex–concave saddle point problems, 2022; Lin and Jordan in Math Oper Res 48(4):2353–2382, 2023). As emphasized by Nesterov (Lectures on convex optimization, vol 137, Springer, Berlin, 2018), however, such procedures do not necessarily imply the practical applicability in large-scale applications, and it is desirable to complement these results with a simple high-order VI method that retains the optimality of the more complex methods. We propose a p th -order method that does not require any line search procedure and provably converges to a weak solution at a rate of O ( ϵ - 2 / ( p + 1 ) ) . We prove that our p th -order method is optimal in the monotone setting by establishing a lower bound of Ω ( ϵ - 2 / ( p + 1 ) ) under a generalized linear span assumption. A restarted version of our p th -order method attains a linear rate for smooth and p th -order uniformly monotone VIs and another restarted version of our p th -order method attains a local superlinear rate for smooth and strongly monotone VIs. Further, the similar p th -order method achieves a global rate of O ( ϵ - 2 / p ) for solving smooth and nonmonotone VIs satisfying the Minty condition. Two restarted versions attain a global linear rate under additional p th -order uniform Minty condition and a local superlinear rate under additional strong Minty condition. | en_US |
dc.publisher | Springer Berlin Heidelberg | en_US |
dc.relation.isversionof | https://doi.org/10.1007/s10107-024-02075-2 | en_US |
dc.rights | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. | en_US |
dc.source | Springer Berlin Heidelberg | en_US |
dc.title | Perseus: a simple and optimal high-order method for variational inequalities | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Lin, T., Jordan, M.I. Perseus: a simple and optimal high-order method for variational inequalities. Math. Program. 209, 609–650 (2025). | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Laboratory for Information and Decision Systems | en_US |
dc.relation.journal | Mathematical Programming | en_US |
dc.eprint.version | Author's final manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dc.date.updated | 2025-03-27T13:47:32Z | |
dc.language.rfc3066 | en | |
dc.rights.holder | Springer-Verlag GmbH Germany, part of Springer Nature and Mathematical Optimization Society | |
dspace.embargo.terms | Y | |
dspace.date.submission | 2025-03-27T13:47:32Z | |
mit.journal.volume | 209 | en_US |
mit.license | PUBLISHER_POLICY | |
mit.metadata.status | Authority Work and Publication Information Needed | en_US |