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 411420 of 423 papers

TitleStatusHype
Deep Bilevel LearningCode0
Learning Implicit Generative Models by Teaching Explicit Ones0
Spectral Inference Networks: Unifying Deep and Spectral LearningCode1
SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy LabelsCode0
Training Set Debugging Using Trusted Items0
Discriminatively Learned Hierarchical Rank Pooling NetworksCode0
A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications0
Multi-rendezvous Spacecraft Trajectory Optimization with Beam P-ACOCode0
OptNet: Differentiable Optimization as a Layer in Neural NetworksCode1
Using Machine Teaching to Identify Optimal Training-Set Attacks on Machine Learners0
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Benchmark Results

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