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 191200 of 423 papers

TitleStatusHype
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum0
Bilevel Continual Learning0
Discrepancy-Optimal Meta-Learning for Domain Generalization0
Generalized Sparse Additive Model with Unknown Link Function0
Generating Poisoning Attacks against Ridge Regression Models with Categorical Features0
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy0
Implicit Differentiation for Hyperparameter Tuning the Weighted Graphical Lasso0
GPN: A Joint Structural Learning Framework for Graph Neural Networks0
Integrated Optimization of Predictive and Prescriptive Tasks0
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