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Bi-ZOL: Bilevel Zeroth-Order Learning with Nonsmooth Responses
This paper studies lower-level-constrained bilevel optimization in a response-oracle setting, where lower-level model information is unavailable and the induced response mapping is locally Lipschitz but potentially nonsmooth. In this setting, the classical response Jacobian and reduced hypergradient
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