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Select-then-differentiate: Solving Bilevel Optimization with Manifold Lower-level Solution Sets
Under local PŁ conditions, unique optimistic lower-level selection ensures hyper-gradient differentiability via pseudoinverses, yielding HG-MS with manifold-dependent convergence and strong LLM reweighting results.
Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026
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AI panel: 13 of 20 reviewers recommend it
lenient 3/5
medium 7/10
strict 3/5