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 126–150 of 423 papers

TitleStatusHype
Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks—0
A Challenge in Reweighting Data with Bilevel Optimization—0
Bilevel Optimization for Real-Time Control with Application to Locomotion Gait Generation—0
Explainable bilevel optimization: an application to the Helsinki deblur challenge—0
Exploring the Impact of HAPS-RIS on UAV-Based Networks: a Novel Network Architecture—0
Bilevel Optimization for Machine Learning: Algorithm Design and Convergence Analysis—0
Bilevel Optimization for Feature Selection in the Data-Driven Newsvendor Problem—0
Analyzing Inexact Hypergradients for Bilevel Learning—0
Bilevel Optimization for Differentially Private Optimization in Energy Systems—0
Bilevel Optimization, Deep Learning and Fractional Laplacian Regularization with Applications in Tomography—0
An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization—0
A First-order Generative Bilevel Optimization Framework for Diffusion Models—0
Federated Neuro-Symbolic Learning—0
Bilevel Online Deep Learning in Non-stationary Environment—0
Bilevel Model for Electricity Market Mechanism Optimisation via Quantum Computing Enhanced Reinforcement Learning—0
A Primal-Dual Approach to Bilevel Optimization with Multiple Inner Minima—0
AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph Neural Networks For Enhanced Unified Representation—0
Bilevel learning of the Group Lasso structure—0
ES-Based Jacobian Enables Faster Bilevel Optimization—0
Effective Bilevel Optimization via Minimax Reformulation—0
Bilevel learning of l1-regularizers with closed-form gradients(BLORC)—0
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising—0
Task-Oriented Convex Bilevel Optimization with Latent Feasibility—0
Adversarial Nonnegative Matrix Factorization—0
Enhancing Generalization via Sharpness-Aware Trajectory Matching for Dataset Condensation—0
Show:102550
← PrevPage 6 of 17Next →
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