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 376–400 of 423 papers

TitleStatusHype
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations—0
Provably Faster Algorithms for Bilevel Optimization and Applications to Meta-Learning—0
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
MetAL: Active Semi-Supervised Learning on Graphs via Meta LearningCode0
A Gradient-based Bilevel Optimization Approach for Tuning Hyperparameters in Machine Learning—0
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
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
UFO-BLO: Unbiased First-Order Bilevel Optimization—0
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
On the Iteration Complexity of Hypergradient Computations—0
Adversarial Nonnegative Matrix Factorization—0
Provably Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost—0
Show:102550
← PrevPage 16 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