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 150 of 423 papers

TitleStatusHype
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
Adaptive Personalized Federated LearningCode2
Coresets via Bilevel Optimization for Continual Learning and StreamingCode1
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit GradientsCode1
Penalty Method for Inversion-Free Deep Bilevel OptimizationCode1
iSLAM: Imperative SLAMCode1
Nystrom Method for Accurate and Scalable Implicit DifferentiationCode1
Neur2BiLO: Neural Bilevel OptimizationCode1
BOML: A Modularized Bilevel Optimization Library in Python for Meta LearningCode1
Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online AdaptationCode1
Provably Faster Algorithms for Bilevel OptimizationCode1
RemovalNet: DNN Fingerprint Removal AttacksCode1
Single-level Adversarial Data Synthesis based on Neural Tangent KernelsCode1
iMatching: Imperative Correspondence LearningCode1
Adversarial Immunization for Certifiable Robustness on GraphsCode1
HypBO: Accelerating Black-Box Scientific Experiments Using Experts' HypothesesCode1
iMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative LearningCode1
Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization PerspectiveCode1
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property PredictionCode1
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level ReformulationCode1
BOME! Bilevel Optimization Made Easy: A Simple First-Order ApproachCode1
Modeling Mask Uncertainty in Hyperspectral Image ReconstructionCode1
Class-Incremental Exemplar Compression for Class-Incremental LearningCode1
OptNet: Differentiable Optimization as a Layer in Neural NetworksCode1
Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response JacobiansCode1
Deep invariant networks with differentiable augmentation layersCode1
Bilevel Optimization: Convergence Analysis and Enhanced DesignCode1
Reinforcement Learning-based Receding Horizon Control using Adaptive Control Barrier Functions for Safety-Critical SystemsCode1
FairBatch: Batch Selection for Model FairnessCode1
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion ModelsCode1
BOBCAT: Bilevel Optimization-Based Computerized Adaptive TestingCode1
On the Convergence Theory for Hessian-Free Bilevel AlgorithmsCode1
AutoScale: Scale-Aware Data Mixing for Pre-Training LLMsCode1
From Hypergraph Energy Functions to Hypergraph Neural NetworksCode1
GS-Phong: Meta-Learned 3D Gaussians for Relightable Novel View SynthesisCode1
How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?Code1
Embarassingly Simple Dataset DistillationCode1
Bilevel Continual LearningCode1
Learning Data Augmentation with Online Bilevel Optimization for Image ClassificationCode1
Learning diffusion at lightspeedCode1
A framework for bilevel optimization that enables stochastic and global variance reduction algorithmsCode1
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-startCode1
An End-to-End Framework for Molecular Conformation Generation via Bilevel ProgrammingCode1
MetaPoison: Practical General-purpose Clean-label Data PoisoningCode1
Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg EquilibriumCode1
Implicit differentiation for fast hyperparameter selection in non-smooth convex learningCode1
Boosting Differentiable Causal Discovery via Adaptive Sample ReweightingCode1
On Penalty-based Bilevel Gradient Descent MethodCode1
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Benchmark Results

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