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 331340 of 423 papers

TitleStatusHype
An End-to-End Framework for Molecular Conformation Generation via Bilevel ProgrammingCode1
Randomized Stochastic Variance-Reduced Methods for Multi-Task Stochastic Bilevel Optimization0
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
Unified Convergence Analysis for Adaptive Optimization with Moving Average Estimator0
Generalization Guarantees for Neural Architecture Search with Train-Validation Split0
Learning Regularization Parameters of Inverse Problems via Deep Neural Networks0
Pareto Efficient Fairness in Supervised Learning: From Extraction to Tracing0
GABO: Graph Augmentations with Bi-level Optimization0
The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers?Code0
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Benchmark Results

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