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 141150 of 423 papers

TitleStatusHype
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor AttacksCode0
SSP-GNN: Learning to Track via Bilevel Optimization0
EMPL: A novel Efficient Meta Prompt Learning Framework for Few-shot Unsupervised Domain Adaptation0
Decomposition of Difficulties in Complex Optimization Problems Using a Bilevel Approach0
Joint Design of Conventional Public Transport Network and Mobility on Demand0
ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting0
Efficient and Effective Implicit Dynamic Graph Neural NetworkCode0
Double Momentum Method for Lower-Level Constrained Bilevel Optimization0
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy0
SAIL: Self-Improving Efficient Online Alignment of Large Language Models0
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Benchmark Results

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