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 261270 of 423 papers

TitleStatusHype
Algorithmic Foundations of Empirical X-risk Minimization0
Will Bilevel Optimizers Benefit from Loops0
Towards Extremely Fast Bilevel Optimization with Self-governed Convergence Guarantees0
Set-based Meta-Interpolation for Few-Task Meta-Learning0
PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning0
GPN: A Joint Structural Learning Framework for Graph Neural Networks0
Beyond backpropagation: bilevel optimization through implicit differentiation and equilibrium propagation0
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property PredictionCode1
Second-Order Sensitivity Analysis for Bilevel OptimizationCode0
Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction0
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Benchmark Results

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