A search-free O(1/k3/2) homotopy inexact proximal-Newton extragradient algorithm for monotone variational inequalities
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Abstract (arXiv)
We present and study the iteration-complexity of a relative-error inexact proximal-Newton extragradient algorithm for solving smooth monotone variational inequality problems in real Hilbert spaces. We removed a search procedure from Monteiro and Svaiter (2012) by introducing a novel approach based on homotopy, which requires the resolution (at each iteration) of a single strongly monotone linear variational inequality. For a given tolerance ρ>0, our main algorithm exhibits pointwise Oleft(frac1ρright) and ergodic Oleft(frac1ρ2/3right) iteration-complexities. From a practical perspective, preliminary numerical experiments indicate that our main algorithm outperforms some previous proximal-Newton schemes.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 11 Aug 2023.
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Citing papers per year: 2024: 3; 2025: 0; 2026: 2.
5 papers.
- 2024Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimizationcited by 8
- 2024Second-Order Min-Max Optimization with Lazy Hessianscited by 5
- 2024A Fully Parameter-Free Second-Order Algorithm for Convex-Concave Minimax Problemscited by 3
- 2026Halpern Iteration Achieves tildeO(ε-1/p) pth-Order Oracle Complexity for Monotone Variational Inequalitiescited by 1
- 2026Optimal High-Order Methods for Solving Monotone Variational Inequalitiescited by 0
- 2026Optimal High-Order Methods for Solving Monotone Variational Inequalities20 Sep 2026
- 2026Halpern Iteration Achieves tildeO(ε-1/p) pth-Order Oracle Complexity for Monotone Variational Inequalities9 Aug 2026
- 2024Second-Order Min-Max Optimization with Lazy Hessians12 Oct 2024
- 2024A Fully Parameter-Free Second-Order Algorithm for Convex-Concave Minimax Problems4 Jul 2024
- 2024Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization4 Jun 2024