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 110 of 423 papers

TitleStatusHype
Adaptive Personalized Federated LearningCode2
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific DiscoveryCode2
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous DrivingCode2
Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object DetectionCode2
BOBCAT: Bilevel Optimization-Based Computerized Adaptive TestingCode1
A framework for bilevel optimization that enables stochastic and global variance reduction algorithmsCode1
BOME! Bilevel Optimization Made Easy: A Simple First-Order ApproachCode1
Adversarial Immunization for Certifiable Robustness on GraphsCode1
Bilevel Continual LearningCode1
An End-to-End Framework for Molecular Conformation Generation via Bilevel ProgrammingCode1
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Benchmark Results

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