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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 401–410 of 423 papers

TitleStatusHype
On the Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost—0
Task-Oriented Convex Bilevel Optimization with Latent Feasibility—0
Learning Surrogate Losses—0
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response FunctionsCode1
Optimal Experiment Design in Nonlinear Parameter Estimation with Exact Confidence Regions—0
MetaStyle: Three-Way Trade-Off Among Speed, Flexibility, and Quality in Neural Style Transfer—0
Bilevel learning of the Group Lasso structure—0
Learning to Defend by Learning to Attack—0
Truncated Back-propagation for Bilevel OptimizationCode0
Convergent Reinforcement Learning with Function Approximation: A Bilevel Optimization Perspective—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