A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization
–Neural Information Processing Systems
In this paper, we study a new model consisting of a general convex or nonconvex objectives and a variety of continuous nonconvex sparsity-inducing constraints.
Neural Information Processing Systems
Aug-16-2025, 06:37:02 GMT
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