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 411420 of 423 papers

TitleStatusHype
A Framework for Bilevel Optimization on Riemannian ManifoldsCode0
The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers?Code0
Amortized Implicit Differentiation for Stochastic Bilevel OptimizationCode0
Learning to Play Sequential Games versus Unknown OpponentsCode0
Alternating Implicit Projected SGD and Its Efficient Variants for Equality-constrained Bilevel OptimizationCode0
A hybrid deep-learning-metaheuristic framework for bi-level network design problemsCode0
Adversarial Training for Defense Against Label Poisoning AttacksCode0
Learning Where to Learn: Training Distribution Selection for Provable OOD PerformanceCode0
Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological ImagesCode0
Asynchronous Distributed Bilevel OptimizationCode0
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Benchmark Results

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