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 5160 of 423 papers

TitleStatusHype
Adversarial Immunization for Certifiable Robustness on GraphsCode1
Learning Data Augmentation with Online Bilevel Optimization for Image ClassificationCode1
Coresets via Bilevel Optimization for Continual Learning and StreamingCode1
MetaPoison: Practical General-purpose Clean-label Data PoisoningCode1
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level ReformulationCode1
Penalty Method for Inversion-Free Deep Bilevel OptimizationCode1
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response FunctionsCode1
Spectral Inference Networks: Unifying Deep and Spectral LearningCode1
OptNet: Differentiable Optimization as a Layer in Neural NetworksCode1
GuiLoMo: Allocating Expert Number and Rank for LoRA-MoE via Bilevel Optimization with GuidedSelection VectorsCode0
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Benchmark Results

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