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 351–375 of 423 papers

TitleStatusHype
FairBatch: Batch Selection for Model FairnessCode1
Gaussian Process-based Approach for Bilevel Optimization in the Power System -- A Critical Load Restoration Case—0
How Robust are Randomized Smoothing based Defenses to Data Poisoning?—0
Convergence and Sample Complexity of SGD in GANs—0
Differentiable Neural Architecture Search in Equivalent Space with Exploration EnhancementCode0
Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery—0
Multi-Agent Reinforcement Learning for Markov Routing Games: A New Modeling Paradigm For Dynamic Traffic Assignment—0
Convergence Properties of Stochastic Hypergradients—0
Bilevel Continual Learning—0
Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response JacobiansCode1
Modeling and Optimization Trade-off in Meta-learningCode0
Semi-supervised Batch Active Learning via Bilevel OptimizationCode1
Bilevel Optimization: Convergence Analysis and Enhanced DesignCode1
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations—0
Provably Faster Algorithms for Bilevel Optimization and Applications to Meta-Learning—0
BOML: A Modularized Bilevel Optimization Library in Python for Meta LearningCode1
Towards Interpretable-AI Policies Induction using Evolutionary Nonlinear Decision Trees for Discrete Action Systems—0
Optimistic variants of single-objective bilevel optimization for evolutionary algorithmsCode0
RARTS: An Efficient First-Order Relaxed Architecture Search Method—0
GL-GAN: Adaptive Global and Local Bilevel Optimization model of Image Generation—0
Interpretable Rule Discovery Through Bilevel Optimization of Split-Rules of Nonlinear Decision Trees for Classification Problems—0
Targeted Data-driven Regularization for Out-of-Distribution GeneralizationCode0
Bilevel Continual LearningCode1
MetAL: Active Semi-Supervised Learning on Graphs via Meta LearningCode0
A Gradient-based Bilevel Optimization Approach for Tuning Hyperparameters in Machine Learning—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