mlsanityData to 14 Oct 2026

Trilevel and Multilevel Optimization using Monotone Operator Theory

arXiv 2105.09407 ↗First posted 19 May 2021math.OC cs.AIcited by 6

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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

  1. 2017A First Order Method for Solving Convex Bi-Level Optimization Problemscited by 67
  2. 2014Linear and strong convergence of algorithms involving averaged nonexpansive operatorscited by 2
  3. 2015Convergence rate analysis for averaged fixed point iterations in the presence of H"older regularitycited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 1; 2025: 2; 2026: 1.

6 papers.