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
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
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Benchmark Results

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