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 251260 of 423 papers

TitleStatusHype
Unlocking Global Optimality in Bilevel Optimization: A Pilot Study0
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning0
Using Hindsight to Anchor Past Knowledge in Continual Learning0
Using Machine Teaching to Identify Optimal Training-Set Attacks on Machine Learners0
Using Synthetic Data to Mitigate Unfairness and Preserve Privacy in Collaborative Machine Learning0
Valuing Distributed Energy Resources for Non-Wires Alternatives0
Whiteness-based bilevel learning of regularization parameters in imaging0
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics0
Federated Neuro-Symbolic Learning0
PETA: Parameter-Efficient Trojan Attacks0
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Benchmark Results

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