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 241250 of 423 papers

TitleStatusHype
BOME! Bilevel Optimization Made Easy: A Simple First-Order ApproachCode1
Bilevel Optimization for Feature Selection in the Data-Driven Newsvendor Problem0
Operational and Economy-Wide Impacts of Compound Cyberattacks and Extreme Weather Events on Electric Power Networks0
A Globally Convergent Gradient-based Bilevel Hyperparameter Optimization Method0
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification0
Adapting Triplet Importance of Implicit Feedback for Personalized RecommendationCode0
INTERACT: Achieving Low Sample and Communication Complexities in Decentralized Bilevel Learning over Networks0
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization0
Learning Sparsity-Promoting Regularizers using Bilevel Optimization0
Robust Network Architecture Search via Feature Distortion RestrainingCode0
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Benchmark Results

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