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

Showing 301310 of 423 papers

TitleStatusHype
Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online AdaptationCode1
Towards Evaluating the Robustness of Neural Networks Learned by TransductionCode0
PANOM: Automatic Hyper-parameter Tuning for Inverse Problems0
On the Convergence Theory for Hessian-Free Bilevel AlgorithmsCode1
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence0
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset0
Towards Gradient-based Bilevel Optimization with Non-convex Followers and BeyondCode0
Inexact bilevel stochastic gradient methods for constrained and unconstrained lower-level problemsCode0
Discrepancy-Optimal Meta-Learning for Domain Generalization0
ES-Based Jacobian Enables Faster Bilevel Optimization0
Show:102550
← PrevPage 31 of 43Next →

Benchmark Results

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