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

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Showing 251–275 of 423 papers

TitleStatusHype
Unlocking Global Optimality in Bilevel Optimization: A Pilot Study—0
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning—0
Using Hindsight to Anchor Past Knowledge in Continual Learning—0
Using Machine Teaching to Identify Optimal Training-Set Attacks on Machine Learners—0
Using Synthetic Data to Mitigate Unfairness and Preserve Privacy in Collaborative Machine Learning—0
Valuing Distributed Energy Resources for Non-Wires Alternatives—0
Whiteness-based bilevel learning of regularization parameters in imaging—0
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics—0
Federated Neuro-Symbolic Learning—0
PETA: Parameter-Efficient Trojan Attacks—0
First-Order Methods for Linearly Constrained Bilevel Optimization—0
First-order penalty methods for bilevel optimization—0
From Text to Pixels: A Context-Aware Semantic Synergy Solution for Infrared and Visible Image Fusion—0
Fully First-Order Methods for Decentralized Bilevel Optimization—0
Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing—0
GABO: Graph Augmentations with Bi-level Optimization—0
Game-theoretic Energy Management Strategies With Interacting Agents in Formula 1—0
Gaussian Process-based Approach for Bilevel Optimization in the Power System -- A Critical Load Restoration Case—0
Generalization Guarantees for Neural Architecture Search with Train-Validation Split—0
Generalized Sparse Additive Model with Unknown Link Function—0
Generating Poisoning Attacks against Ridge Regression Models with Categorical Features—0
GL-GAN: Adaptive Global and Local Bilevel Optimization model of Image Generation—0
GPN: A Joint Structural Learning Framework for Graph Neural Networks—0
Graph Sanitation with Application to Node Classification—0
Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization—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