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 125 of 423 papers

TitleStatusHype
Adaptive Personalized Federated LearningCode2
Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object DetectionCode2
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous DrivingCode2
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific DiscoveryCode2
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
Modeling Mask Uncertainty in Hyperspectral Image ReconstructionCode1
Deep invariant networks with differentiable augmentation layersCode1
Coresets via Bilevel Optimization for Continual Learning and StreamingCode1
Embarassingly Simple Dataset DistillationCode1
On the Convergence Theory for Hessian-Free Bilevel AlgorithmsCode1
Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg EquilibriumCode1
From Hypergraph Energy Functions to Hypergraph Neural NetworksCode1
Bilevel Continual LearningCode1
BOBCAT: Bilevel Optimization-Based Computerized Adaptive TestingCode1
Adversarial Immunization for Certifiable Robustness on GraphsCode1
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-startCode1
BOML: A Modularized Bilevel Optimization Library in Python for Meta LearningCode1
Boosting Differentiable Causal Discovery via Adaptive Sample ReweightingCode1
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
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