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 2650 of 423 papers

TitleStatusHype
Nystrom Method for Accurate and Scalable Implicit DifferentiationCode1
Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online AdaptationCode1
Penalty Method for Inversion-Free Deep Bilevel OptimizationCode1
Bilevel Optimization: Convergence Analysis and Enhanced DesignCode1
Reinforcement Learning-based Receding Horizon Control using Adaptive Control Barrier Functions for Safety-Critical SystemsCode1
AutoScale: Scale-Aware Data Mixing for Pre-Training LLMsCode1
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-startCode1
Adversarial Immunization for Certifiable Robustness on GraphsCode1
BOBCAT: Bilevel Optimization-Based Computerized Adaptive TestingCode1
Boosting Differentiable Causal Discovery via Adaptive Sample ReweightingCode1
Modeling Mask Uncertainty in Hyperspectral Image ReconstructionCode1
Coresets via Bilevel Optimization for Continual Learning and StreamingCode1
Deep invariant networks with differentiable augmentation layersCode1
On the Convergence Theory for Hessian-Free Bilevel AlgorithmsCode1
FairBatch: Batch Selection for Model FairnessCode1
From Hypergraph Energy Functions to Hypergraph Neural NetworksCode1
Single-level Adversarial Data Synthesis based on Neural Tangent KernelsCode1
A framework for bilevel optimization that enables stochastic and global variance reduction algorithmsCode1
HypBO: Accelerating Black-Box Scientific Experiments Using Experts' HypothesesCode1
An End-to-End Framework for Molecular Conformation Generation via Bilevel ProgrammingCode1
Implicit differentiation for fast hyperparameter selection in non-smooth convex learningCode1
BOML: A Modularized Bilevel Optimization Library in Python for Meta LearningCode1
Embarassingly Simple Dataset DistillationCode1
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property PredictionCode1
Learning diffusion at lightspeedCode1
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Benchmark Results

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