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 341350 of 423 papers

TitleStatusHype
DARTS-PRIME: Regularization and Scheduling Improve Constrained Optimization in Differentiable NAS0
BiAdam: Fast Adaptive Bilevel Optimization Methods0
Towards Adversarial Robustness via Transductive Learning0
Fair Machine Learning under Limited Demographically Labeled DataCode0
Learning to Learn Semantic Factors in Heterogeneous Image Classification0
A Gradient Method for Multilevel Optimization0
Regularization Can Help Mitigate Poisoning Attacks... with the Right Hyperparameters0
Graph Sanitation with Application to Node Classification0
Bilevel Programs Meet Deep Learning: A Unifying View on Inference Learning Methods0
Randomized Stochastic Variance-Reduced Methods for Multi-Task Stochastic Bilevel Optimization0
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Benchmark Results

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