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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

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Showing 376–400 of 423 papers

TitleStatusHype
Diffusion-Augmented Coreset Expansion for Scalable Dataset Distillation—0
Diffusion-Driven Generative Framework for Molecular Conformation Prediction—0
Discrepancy-Optimal Meta-Learning for Domain Generalization—0
OGAN: Disrupting Deepfakes with an Adversarial Attack that Survives Training—0
Double Momentum Method for Lower-Level Constrained Bilevel Optimization—0
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising—0
Effective Bilevel Optimization via Minimax Reformulation—0
Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization—0
Efficient Evolutionary Algorithm for Single-Objective Bilevel Optimization—0
Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning under Preference Guidance—0
Efficient Gradient Approximation Method for Constrained Bilevel Optimization—0
Efficiently Escaping Saddle Points in Bilevel Optimization—0
Efficient Prior Calibration From Indirect Data—0
EMPL: A novel Efficient Meta Prompt Learning Framework for Few-shot Unsupervised Domain Adaptation—0
Enhanced Bilevel Optimization via Bregman Distance—0
Enhancing Generalization via Sharpness-Aware Trajectory Matching for Dataset Condensation—0
Enhancing Sharpness-Aware Minimization by Learning Perturbation Radius—0
ES-Based Jacobian Enables Faster Bilevel Optimization—0
Evaluating Data Influence in Meta Learning—0
Exergy Battery Modeling and P2P Trading Based Optimal Operation of Virtual Energy Station—0
Explainable bilevel optimization: an application to the Helsinki deblur challenge—0
Exploring the Impact of HAPS-RIS on UAV-Based Networks: a Novel Network Architecture—0
Fast Adaptive Federated Bilevel Optimization—0
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization—0
Federated Neuro-Symbolic Learning—0
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All datasetsEquilibrium-Traffic-Networks/AnaheimEquilibrium-Traffic-Networks/Eastern MassachusettsEquilibrium-Traffic-Networks/Sioux Falls

Benchmark Results

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