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 3140 of 423 papers

TitleStatusHype
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-startCode1
BOML: A Modularized Bilevel Optimization Library in Python for Meta LearningCode1
Adversarial Immunization for Certifiable Robustness on GraphsCode1
BOBCAT: Bilevel Optimization-Based Computerized Adaptive TestingCode1
An End-to-End Framework for Molecular Conformation Generation via Bilevel ProgrammingCode1
Boosting Differentiable Causal Discovery via Adaptive Sample ReweightingCode1
Class-Incremental Exemplar Compression for Class-Incremental LearningCode1
Coresets via Bilevel Optimization for Continual Learning and StreamingCode1
Embarassingly Simple Dataset DistillationCode1
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion ModelsCode1
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Benchmark Results

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