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 8190 of 423 papers

TitleStatusHype
On Stability in Optimistic Bilevel Optimization0
Rooftop and Community Solar Adoption with Income Heterogeneity0
Preference-Optimized Pareto Set Learning for Blackbox OptimizationCode0
Enhancing Sharpness-Aware Minimization by Learning Perturbation Radius0
AutoScale: Scale-Aware Data Mixing for Pre-Training LLMsCode1
Optimal Hessian/Jacobian-Free Nonconvex-PL Bilevel Optimization0
Improving SAM Requires Rethinking its Optimization FormulationCode0
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor AttacksCode0
SSP-GNN: Learning to Track via Bilevel Optimization0
EMPL: A novel Efficient Meta Prompt Learning Framework for Few-shot Unsupervised Domain Adaptation0
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Benchmark Results

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