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 91100 of 423 papers

TitleStatusHype
A Framework for Bilevel Optimization on Riemannian ManifoldsCode0
BiLO: Bilevel Local Operator Learning for PDE inverse problemsCode0
Few-shot Backdoor Attacks via Neural Tangent KernelsCode0
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel OptimizationCode0
Exact Certification of (Graph) Neural Networks Against Label PoisoningCode0
Adapting Triplet Importance of Implicit Feedback for Personalized RecommendationCode0
Enhancing Hypergradients Estimation: A Study of Preconditioning and ReparameterizationCode0
Discriminatively Learned Hierarchical Rank Pooling NetworksCode0
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded SmoothnessCode0
An adaptively inexact first-order method for bilevel optimization with application to hyperparameter learningCode0
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Benchmark Results

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