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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–300 of 423 papers

TitleStatusHype
UFO-BLO: Unbiased First-Order Bilevel Optimization—0
Uncertainty-Informed Renewable Energy Scheduling: A Scalable Bilevel Framework—0
Unit Commitment with Cost-Oriented Temporal Resolution—0
Unlocking Global Optimality in Bilevel Optimization: A Pilot Study—0
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning—0
Using Machine Teaching to Identify Optimal Training-Set Attacks on Machine Learners—0
Using Synthetic Data to Mitigate Unfairness and Preserve Privacy in Collaborative Machine Learning—0
Valuing Distributed Energy Resources for Non-Wires Alternatives—0
Whiteness-based bilevel learning of regularization parameters in imaging—0
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics—0
Federated Neuro-Symbolic Learning—0
PETA: Parameter-Efficient Trojan Attacks—0
First-Order Methods for Linearly Constrained Bilevel Optimization—0
First-order penalty methods for bilevel optimization—0
From Text to Pixels: A Context-Aware Semantic Synergy Solution for Infrared and Visible Image Fusion—0
Fully First-Order Methods for Decentralized Bilevel Optimization—0
Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing—0
GABO: Graph Augmentations with Bi-level Optimization—0
Game-theoretic Energy Management Strategies With Interacting Agents in Formula 1—0
Gaussian Process-based Approach for Bilevel Optimization in the Power System -- A Critical Load Restoration Case—0
Generalization Guarantees for Neural Architecture Search with Train-Validation Split—0
Generalized Sparse Additive Model with Unknown Link Function—0
Generating Poisoning Attacks against Ridge Regression Models with Categorical Features—0
GL-GAN: Adaptive Global and Local Bilevel Optimization model of Image Generation—0
GPN: A Joint Structural Learning Framework for Graph Neural Networks—0
Graph Sanitation with Application to Node Classification—0
Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization—0
Hyperparameter Learning under Data Poisoning: Analysis of the Influence of Regularization via Multiobjective Bilevel Optimization—0
Hyperparameter Tuning Through Pessimistic Bilevel Optimization—0
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy—0
Implicit Bilevel Optimization: Differentiating through Bilevel Optimization Programming—0
Implicit Differentiation for Hyperparameter Tuning the Weighted Graphical Lasso—0
Implicit Diffusion: Efficient Optimization through Stochastic Sampling—0
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence—0
Integrated Optimization of Predictive and Prescriptive Tasks—0
Integrating process design and control using reinforcement learning—0
INTERACT: Achieving Low Sample and Communication Complexities in Decentralized Bilevel Learning over Networks—0
Towards Interpretable-AI Policies Induction using Evolutionary Nonlinear Decision Trees for Discrete Action Systems—0
Interpretable Rule Discovery Through Bilevel Optimization of Split-Rules of Nonlinear Decision Trees for Classification Problems—0
Iterative Reweighted Least Squares Networks With Convergence Guarantees for Solving Inverse Imaging Problems—0
Joint Design of Conventional Public Transport Network and Mobility on Demand—0
Joint Differentiable Optimization and Verification for Certified Reinforcement Learning—0
Joint Perceptual Learning for Enhancement and Object Detection in Underwater Scenarios—0
Joint Unsupervised and Supervised Training for Automatic Speech Recognition via Bilevel Optimization—0
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations—0
Learning Implicit Generative Models by Teaching Explicit Ones—0
Learning Regularization Parameters of Inverse Problems via Deep Neural Networks—0
Learning Sample Reweighting for Accuracy and Adversarial Robustness—0
Learning Sample Reweighting for Adversarial Robustness—0
Learning Sparsity-Promoting Regularizers using Bilevel Optimization—0
Show:102550
← PrevPage 6 of 9Next →
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