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 4150 of 423 papers

TitleStatusHype
Generating Poisoning Attacks against Ridge Regression Models with Categorical Features0
A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded SmoothnessCode0
Bayesian Optimization of Bilevel Problems0
Learning sparsity-promoting regularizers for linear inverse problems0
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion ModelsCode1
Bilevel Learning with Inexact Stochastic GradientsCode0
Self-Interested Agents in Collaborative Learning: An Incentivized Adaptive Data-Centric Framework0
Diffusion-Augmented Coreset Expansion for Scalable Dataset Distillation0
Hyperparameter Tuning Through Pessimistic Bilevel Optimization0
Exact Certification of (Graph) Neural Networks Against Label PoisoningCode0
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Benchmark Results

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