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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 of 423 papers

TitleStatusHype
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
Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object DetectionCode2
Adaptive Personalized Federated LearningCode2
LDC-MTL: Balancing Multi-Task Learning through Scalable Loss Discrepancy ControlCode1
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion ModelsCode1
Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg EquilibriumCode1
UnSeg: One Universal Unlearnable Example Generator is Enough against All Image SegmentationCode1
SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data SelectionCode1
AutoScale: Scale-Aware Data Mixing for Pre-Training LLMsCode1
Learning diffusion at lightspeedCode1
GS-Phong: Meta-Learned 3D Gaussians for Relightable Novel View SynthesisCode1
iMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative LearningCode1
Reinforcement Learning-based Receding Horizon Control using Adaptive Control Barrier Functions for Safety-Critical SystemsCode1
Neur2BiLO: Neural Bilevel OptimizationCode1
iMatching: Imperative Correspondence LearningCode1
MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learningCode1
Embarassingly Simple Dataset DistillationCode1
Self-Supervised Dataset Distillation for Transfer LearningCode1
RemovalNet: DNN Fingerprint Removal AttacksCode1
HypBO: Accelerating Black-Box Scientific Experiments Using Experts' HypothesesCode1
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New PerspectiveCode1
From Hypergraph Energy Functions to Hypergraph Neural NetworksCode1
iSLAM: Imperative SLAMCode1
Class-Incremental Exemplar Compression for Class-Incremental LearningCode1
Boosting Differentiable Causal Discovery via Adaptive Sample ReweightingCode1
Nystrom Method for Accurate and Scalable Implicit DifferentiationCode1
On Penalty-based Bilevel Gradient Descent MethodCode1
How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?Code1
BOME! Bilevel Optimization Made Easy: A Simple First-Order ApproachCode1
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
Provably Faster Algorithms for Bilevel OptimizationCode1
An End-to-End Framework for Molecular Conformation Generation via Bilevel ProgrammingCode1
Implicit differentiation for fast hyperparameter selection in non-smooth convex learningCode1
Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization PerspectiveCode1
FairBatch: Batch Selection for Model FairnessCode1
Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response JacobiansCode1
Semi-supervised Batch Active Learning via Bilevel OptimizationCode1
Bilevel Optimization: Convergence Analysis and Enhanced DesignCode1
BOML: A Modularized Bilevel Optimization Library in Python for Meta LearningCode1
Bilevel Continual LearningCode1
Show:102550
← PrevPage 1 of 9Next →
All datasetsEquilibrium-Traffic-Networks/AnaheimEquilibrium-Traffic-Networks/Eastern MassachusettsEquilibrium-Traffic-Networks/Sioux Falls

Benchmark Results

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