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
Generating Poisoning Attacks against Ridge Regression Models with Categorical Features0
GL-GAN: Adaptive Global and Local Bilevel Optimization model of Image Generation0
GPN: A Joint Structural Learning Framework for Graph Neural Networks0
Graph Sanitation with Application to Node Classification0
Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization0
How Robust are Randomized Smoothing based Defenses to Data Poisoning?0
Hyperparameter Learning under Data Poisoning: Analysis of the Influence of Regularization via Multiobjective Bilevel Optimization0
Hyperparameter Tuning Through Pessimistic Bilevel Optimization0
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy0
Implicit Bilevel Optimization: Differentiating through Bilevel Optimization Programming0
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Benchmark Results

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