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 301310 of 423 papers

TitleStatusHype
Age of Information Optimization in a RIS-Assisted Wireless Network0
A Globally Convergent Gradient-based Bilevel Hyperparameter Optimization Method0
A Gradient-based Bilevel Optimization Approach for Tuning Hyperparameters in Machine Learning0
A Gradient Method for Multilevel Optimization0
A Learnable Variational Model for Joint Multimodal MRI Reconstruction and Synthesis0
Algorithmic Foundations of Empirical X-risk Minimization0
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback0
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum0
AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph Neural Networks For Enhanced Unified Representation0
An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization0
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Benchmark Results

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