Trilevel and Multilevel Optimization using Monotone Operator Theory
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Abstract (arXiv)
We consider rather a general class of multi-level optimization problems, where a convex objective function is to be minimized subject to constraints of optimality of nested convex optimization problems. As a special case, we consider a trilevel optimization problem, where the objective of the two lower layers consists of a sum of a smooth and a non-smooth term.~Based on fixed-point theory and related arguments, we present a natural first-order algorithm and analyze its convergence and rates of convergence in several regimes of parameters.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 3 of its 38 references that are in the map. First posted on arXiv 19 May 2021.
Builds on
3 of 38 references.
References · 3
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Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 1; 2025: 2; 2026: 1.
6 papers.
- 2023Efficient Dataset Distillation via Minimax Diffusioncited by 83
- 2021A Gradient Method for Multilevel Optimizationcited by 12
- 2025A stochastic gradient method for trilevel optimizationcited by 2
- 2026Non-Stationary Functional Bilevel Optimizationcited by 2
- 2024Towards Differentiable Multilevel Optimization: A Gradient-Based Approachcited by 0
- 2025Mission-Aligned Learning-Informed Control of Autonomous Systems: Formulation and Foundationscited by 0
- 2026Non-Stationary Functional Bilevel Optimization21 Jan 2026
- 2025Mission-Aligned Learning-Informed Control of Autonomous Systems: Formulation and Foundations6 Jul 2025
- 2025A stochastic gradient method for trilevel optimization11 May 2025
- 2024Towards Differentiable Multilevel Optimization: A Gradient-Based Approach15 Oct 2024
- 2023Efficient Dataset Distillation via Minimax Diffusion27 Nov 2023
- 2021A Gradient Method for Multilevel Optimization28 May 2021