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 121130 of 423 papers

TitleStatusHype
Fair Machine Learning under Limited Demographically Labeled DataCode0
An adaptively inexact first-order method for bilevel optimization with application to hyperparameter learningCode0
Efficient and Effective Implicit Dynamic Graph Neural NetworkCode0
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel OptimizationCode0
A Bilevel Optimization Framework for Imbalanced Data ClassificationCode0
Second-Order Sensitivity Analysis for Bilevel OptimizationCode0
Differentiable Neural Architecture Search in Equivalent Space with Exploration EnhancementCode0
Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural NetworksCode0
Deep Bilevel LearningCode0
Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence TruncationCode0
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Benchmark Results

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