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

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Showing 221–230 of 423 papers

TitleStatusHype
ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting—0
Selective classification using a robust meta-learning approach—0
Self-Interested Agents in Collaborative Learning: An Incentivized Adaptive Data-Centric Framework—0
Sequential QCQP for Bilevel Optimization with Line Search—0
Set-based Meta-Interpolation for Few-Task Meta-Learning—0
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning—0
Single Time-scale Actor-critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees—0
Single-Timescale Multi-Sequence Stochastic Approximation Without Fixed Point Smoothness: Theories and Applications—0
SLACK: Stable Learning of Augmentations with Cold-start and KL regularization—0
Solving Bilevel Knapsack Problem using Graph Neural Networks—0
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All datasetsEquilibrium-Traffic-Networks/AnaheimEquilibrium-Traffic-Networks/Eastern MassachusettsEquilibrium-Traffic-Networks/Sioux Falls

Benchmark Results

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