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 171180 of 423 papers

TitleStatusHype
Double Momentum Method for Lower-Level Constrained Bilevel Optimization0
OGAN: Disrupting Deepfakes with an Adversarial Attack that Survives Training0
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum0
Fast Adaptive Federated Bilevel Optimization0
Bilevel Continual Learning0
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization0
Federated Neuro-Symbolic Learning0
PETA: Parameter-Efficient Trojan Attacks0
Discrepancy-Optimal Meta-Learning for Domain Generalization0
Gaussian Process-based Approach for Bilevel Optimization in the Power System -- A Critical Load Restoration Case0
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Benchmark Results

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