Constraint qualifications and optimality conditions in bilevel optimization
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Abstract (arXiv)
In this paper we study constraint qualifications and optimality conditions for bilevel programming problems. We strive to derive checkable constraint qualifications in terms of problem data and applicable optimality conditions. For the bilevel program with convex lower level program we discuss drawbacks of reformulating a bilevel programming problem by the mathematical program with complementarity constraints and present a new sharp necessary optimality condition for the reformulation by the mathematical program with a generalized equation constraint. For the bilevel program with a nonconvex lower level program we propose a relaxed constant positive linear dependence (RCPLD) condition for the combined program.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Oct 2019.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 3; 2024: 0; 2025: 1.
5 papers.
- 2021Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyondcited by 151
- 2023First-order penalty methods for bilevel optimizationcited by 40
- 2023Moreau Envelope Based Difference-of-weakly-Convex Reformulation and Algorithm for Bilevel Programscited by 7
- 2023A Generalized Alternating Method for Bilevel Learning under the Polyak-Lojasiewicz Conditioncited by 5
- 2025Solving bilevel optimization via sequential minimax optimizationcited by 3
- 2025Solving bilevel optimization via sequential minimax optimization10 Nov 2025
- 2023Moreau Envelope Based Difference-of-weakly-Convex Reformulation and Algorithm for Bilevel Programs29 Jun 2023
- 2023A Generalized Alternating Method for Bilevel Learning under the Polyak-Lojasiewicz Condition4 Jun 2023
- 2023First-order penalty methods for bilevel optimization4 Jan 2023
- 2021Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond27 Jan 2021