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 351360 of 423 papers

TitleStatusHype
MetAL: Active Semi-Supervised Learning on Graphs via Meta LearningCode0
Functional Bilevel Optimization for Machine LearningCode0
BloomGML: Graph Machine Learning through the Lens of Bilevel OptimizationCode0
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel OptimizationCode0
Adapting Triplet Importance of Implicit Feedback for Personalized RecommendationCode0
GCAL: Adapting Graph Models to Evolving Domain ShiftsCode0
Truncated Back-propagation for Bilevel OptimizationCode0
A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level ProblemCode0
Robust Network Architecture Search via Feature Distortion RestrainingCode0
Generalizing Reward Modeling for Out-of-Distribution Preference LearningCode0
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Benchmark Results

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