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 361370 of 423 papers

TitleStatusHype
BiLO: Bilevel Local Operator Learning for PDE inverse problemsCode0
Enhancing Hypergradients Estimation: A Study of Preconditioning and ReparameterizationCode0
Min-Max Bilevel Multi-objective Optimization with Applications in Machine LearningCode0
MISLEADER: Defending against Model Extraction with Ensembles of Distilled ModelsCode0
Gradient-based bilevel optimization for multi-penalty Ridge regression through matrix differential calculusCode0
Gradient scarcity with Bilevel Optimization for Graph LearningCode0
Modeling and Optimization Trade-off in Meta-learningCode0
Efficient Cross-Modal Video Retrieval with Meta-Optimized FramesCode0
GuiLoMo: Allocating Expert Number and Rank for LoRA-MoE via Bilevel Optimization with GuidedSelection VectorsCode0
Contextual Bilevel Reinforcement Learning for Incentive AlignmentCode0
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Benchmark Results

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