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 381390 of 423 papers

TitleStatusHype
GL-GAN: Adaptive Global and Local Bilevel Optimization model of Image Generation0
Interpretable Rule Discovery Through Bilevel Optimization of Split-Rules of Nonlinear Decision Trees for Classification Problems0
Targeted Data-driven Regularization for Out-of-Distribution GeneralizationCode0
MetAL: Active Semi-Supervised Learning on Graphs via Meta LearningCode0
A Gradient-based Bilevel Optimization Approach for Tuning Hyperparameters in Machine Learning0
Learning to Play Sequential Games versus Unknown OpponentsCode0
A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic0
Consistency analysis of bilevel data-driven learning in inverse problems0
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising0
Inexact Derivative-Free Optimization for Bilevel LearningCode0
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Benchmark Results

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