Develops optimistic and pessimistic calculus rules for set-valued bilevel constraints, derives nonsmooth adjoint inclusions, and proposes a convergent single-loop algorithm demonstrated on total variation inverse problems.
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2 Pith papers cite this work. Polarity classification is still indexing.
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math.OC 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Proposes single-loop online methods for PDE-constrained dynamic inverse problems that replace exact gradients with estimates having summable errors to retain standard regret bounds.
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Single-loop approaches to nonsmooth bilevel optimisation
Develops optimistic and pessimistic calculus rules for set-valued bilevel constraints, derives nonsmooth adjoint inclusions, and proposes a convergent single-loop algorithm demonstrated on total variation inverse problems.
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Dynamic inverse problems: Single-loop online algorithms
Proposes single-loop online methods for PDE-constrained dynamic inverse problems that replace exact gradients with estimates having summable errors to retain standard regret bounds.