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 361370 of 423 papers

TitleStatusHype
Modeling and Optimization Trade-off in Meta-learningCode0
Semi-supervised Batch Active Learning via Bilevel OptimizationCode1
Bilevel Optimization: Convergence Analysis and Enhanced DesignCode1
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations0
Provably Faster Algorithms for Bilevel Optimization and Applications to Meta-Learning0
BOML: A Modularized Bilevel Optimization Library in Python for Meta LearningCode1
Towards Interpretable-AI Policies Induction using Evolutionary Nonlinear Decision Trees for Discrete Action Systems0
Optimistic variants of single-objective bilevel optimization for evolutionary algorithmsCode0
RARTS: An Efficient First-Order Relaxed Architecture Search Method0
GL-GAN: Adaptive Global and Local Bilevel Optimization model of Image Generation0
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Benchmark Results

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