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 3140 of 423 papers

TitleStatusHype
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property PredictionCode1
Single-level Adversarial Data Synthesis based on Neural Tangent KernelsCode1
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit GradientsCode1
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-startCode1
Deep invariant networks with differentiable augmentation layersCode1
A framework for bilevel optimization that enables stochastic and global variance reduction algorithmsCode1
Modeling Mask Uncertainty in Hyperspectral Image ReconstructionCode1
Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online AdaptationCode1
On the Convergence Theory for Hessian-Free Bilevel AlgorithmsCode1
BOBCAT: Bilevel Optimization-Based Computerized Adaptive TestingCode1
Show:102550
← PrevPage 4 of 43Next →

Benchmark Results

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