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 201210 of 423 papers

TitleStatusHype
Discrepancy-Optimal Meta-Learning for Domain Generalization0
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence0
A Game-theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search0
Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization0
Integrated Optimization of Predictive and Prescriptive Tasks0
How Robust are Randomized Smoothing based Defenses to Data Poisoning?0
Towards Interpretable-AI Policies Induction using Evolutionary Nonlinear Decision Trees for Discrete Action Systems0
Joint Design of Conventional Public Transport Network and Mobility on Demand0
Hyperparameter Learning under Data Poisoning: Analysis of the Influence of Regularization via Multiobjective Bilevel Optimization0
Diffusion-Driven Generative Framework for Molecular Conformation Prediction0
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Benchmark Results

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