SOTAVerified

Bilevel Optimization

Bilevel Optimization is a branch of optimization, which contains a nested optimization problem within the constraints of the outer optimization problem. The outer optimization task is usually referred as the upper level task, and the nested inner optimization task is referred as the lower level task. The lower level problem appears as a constraint, such that only an optimal solution to the lower level optimization problem is a possible feasible candidate to the upper level optimization problem.

Source: Efficient Evolutionary Algorithm for Single-Objective Bilevel Optimization

Papers

Showing 391400 of 423 papers

TitleStatusHype
Enhancing Generalization via Sharpness-Aware Trajectory Matching for Dataset Condensation0
Enhancing Sharpness-Aware Minimization by Learning Perturbation Radius0
ES-Based Jacobian Enables Faster Bilevel Optimization0
Evaluating Data Influence in Meta Learning0
Exergy Battery Modeling and P2P Trading Based Optimal Operation of Virtual Energy Station0
Explainable bilevel optimization: an application to the Helsinki deblur challenge0
Exploring the Impact of HAPS-RIS on UAV-Based Networks: a Novel Network Architecture0
Fast Adaptive Federated Bilevel Optimization0
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization0
Federated Neuro-Symbolic Learning0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GIN-GAOptimality Gap0.21Unverified
#ModelMetricClaimedVerifiedStatus
1GIN-GAOptimality Gap0.48Unverified
#ModelMetricClaimedVerifiedStatus
1GIN-GAOptimality Gap1.44Unverified