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
Tighter Analysis of Alternating Stochastic Gradient Method for Stochastic Nested Problems0
Towards Adversarial Robustness via Transductive Learning0
Towards Extremely Fast Bilevel Optimization with Self-governed Convergence Guarantees0
Towards Poisoning Fair Representations0
Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning0
Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective0
Training Set Debugging Using Trusted Items0
UFO-BLO: Unbiased First-Order Bilevel Optimization0
Uncertainty-Informed Renewable Energy Scheduling: A Scalable Bilevel Framework0
Unit Commitment with Cost-Oriented Temporal Resolution0
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Benchmark Results

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