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 381390 of 423 papers

TitleStatusHype
Learning Data Augmentation with Online Bilevel Optimization for Image ClassificationCode1
Inexact Derivative-Free Optimization for Bilevel LearningCode0
On the Global Optimality of Model-Agnostic Meta-Learning0
OGAN: Disrupting Deepfakes with an Adversarial Attack that Survives Training0
Coresets via Bilevel Optimization for Continual Learning and StreamingCode1
UFO-BLO: Unbiased First-Order Bilevel Optimization0
MetaPoison: Practical General-purpose Clean-label Data PoisoningCode1
Adaptive Personalized Federated LearningCode2
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level ReformulationCode1
Regularisation Can Mitigate Poisoning Attacks: A Novel Analysis Based on Multiobjective Bilevel Optimisation0
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Benchmark Results

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