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 401410 of 423 papers

TitleStatusHype
Convex and Bilevel Optimization for Neuro-Symbolic Inference and LearningCode0
Analyzing the Role of the DSO in Electricity Trading of VPPs via a Stackelberg Game ModelCode0
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor AttacksCode0
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel OptimizationCode0
Balancing Test Accuracy and Security in Computerized Adaptive TestingCode0
Scalable Bilevel Optimization for Generating Maximally Representative OPF DatasetsCode0
Towards Gradient-based Bilevel Optimization with Non-convex Followers and BeyondCode0
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded SmoothnessCode0
Second-Order Sensitivity Analysis for Bilevel OptimizationCode0
CoBo: Collaborative Learning via Bilevel OptimizationCode0
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Benchmark Results

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