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

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Showing 376–400 of 423 papers

TitleStatusHype
Adversarial Immunization for Certifiable Robustness on GraphsCode1
Learning to Play Sequential Games versus Unknown OpponentsCode0
A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic—0
Consistency analysis of bilevel data-driven learning in inverse problems—0
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising—0
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-Learning—0
OGAN: Disrupting Deepfakes with an Adversarial Attack that Survives Training—0
Coresets via Bilevel Optimization for Continual Learning and StreamingCode1
UFO-BLO: Unbiased First-Order Bilevel Optimization—0
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 Optimisation—0
Using Hindsight to Anchor Past Knowledge in Continual Learning—0
Reward Design for Driver Repositioning Using Multi-Agent Reinforcement Learning—0
Bilevel Optimization for Differentially Private Optimization in Energy Systems—0
Adversarial Nonnegative Matrix Factorization—0
On the Iteration Complexity of Hypergradient Computations—0
Provably Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost—0
Penalty Method for Inversion-Free Deep Bilevel OptimizationCode1
On Weight-Sharing and Bilevel Optimization in Architecture Search—0
Learning to Generalize to Unseen Tasks with Bilevel Optimization—0
Bilevel Optimization, Deep Learning and Fractional Laplacian Regularization with Applications in Tomography—0
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All datasetsEquilibrium-Traffic-Networks/AnaheimEquilibrium-Traffic-Networks/Eastern MassachusettsEquilibrium-Traffic-Networks/Sioux Falls

Benchmark Results

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