Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level
This work proposes a class of Multi-Objective Moreau Envelope based Hessian-free Algorithms (MOMEHA) to solve the multi-objective bilevel learning problems with nonconvex lower level and proposes a momentum-based variant of MOMEHA (i.e., MB-MOMEHA) method to solve the stochastic multi-objective bilevel learning problems.
Yicong Jiang, Feihu Huang
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