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 121–130 of 423 papers

TitleStatusHype
Reinforcement Learning-based Receding Horizon Control using Adaptive Control Barrier Functions for Safety-Critical SystemsCode1
Whiteness-based bilevel learning of regularization parameters in imaging—0
BloomGML: Graph Machine Learning through the Lens of Bilevel OptimizationCode0
Enhancing Hypergradients Estimation: A Study of Preconditioning and ReparameterizationCode0
Concurrent Learning of Policy and Unknown Safety Constraints in Reinforcement Learning—0
Generalizing Reward Modeling for Out-of-Distribution Preference LearningCode0
PI-CoF: A Bilevel Optimization Framework for Solving Active Learning Problems using Physics-Information—0
An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization—0
Conformal Predictive Programming for Chance Constrained Optimization—0
On the Complexity of First-Order Methods in Stochastic 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