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 2130 of 423 papers

TitleStatusHype
A framework for bilevel optimization that enables stochastic and global variance reduction algorithmsCode1
Class-Incremental Exemplar Compression for Class-Incremental LearningCode1
An End-to-End Framework for Molecular Conformation Generation via Bilevel ProgrammingCode1
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion ModelsCode1
On the Convergence Theory for Hessian-Free Bilevel AlgorithmsCode1
FairBatch: Batch Selection for Model FairnessCode1
Single-level Adversarial Data Synthesis based on Neural Tangent KernelsCode1
GS-Phong: Meta-Learned 3D Gaussians for Relightable Novel View SynthesisCode1
HypBO: Accelerating Black-Box Scientific Experiments Using Experts' HypothesesCode1
AutoScale: Scale-Aware Data Mixing for Pre-Training LLMsCode1
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Benchmark Results

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