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
Rooftop and Community Solar Adoption with Income Heterogeneity0
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation0
SAIL: Self-Improving Efficient Online Alignment of Large Language Models0
SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization0
ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting0
Selective classification using a robust meta-learning approach0
Self-Interested Agents in Collaborative Learning: An Incentivized Adaptive Data-Centric Framework0
Sequential QCQP for Bilevel Optimization with Line Search0
Set-based Meta-Interpolation for Few-Task Meta-Learning0
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning0
Show:102550
← PrevPage 25 of 43Next →

Benchmark Results

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