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 271280 of 423 papers

TitleStatusHype
On the Convergence of Momentum-Based Algorithms for Federated Bilevel Optimization Problems0
Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization0
A Stackelberg game for incentive-based demand response in energy markets0
Single-level Adversarial Data Synthesis based on Neural Tangent KernelsCode1
A Learnable Variational Model for Joint Multimodal MRI Reconstruction and Synthesis0
Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object DetectionCode2
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit GradientsCode1
Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization0
Min-Max Bilevel Multi-objective Optimization with Applications in Machine LearningCode0
A Primal-Dual Approach to Bilevel Optimization with Multiple Inner Minima0
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Benchmark Results

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