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 401–423 of 423 papers

TitleStatusHype
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
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 Optimization—0
Hyperparameter Tuning Through Pessimistic Bilevel Optimization—0
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy—0
Implicit Bilevel Optimization: Differentiating through Bilevel Optimization Programming—0
Implicit Differentiation for Hyperparameter Tuning the Weighted Graphical Lasso—0
Implicit Diffusion: Efficient Optimization through Stochastic Sampling—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