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 311320 of 423 papers

TitleStatusHype
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation0
Generalists vs. Specialists: Evaluating LLMs on Highly-Constrained Biophysical Sequence Optimization Tasks0
Load Encoding for Learning AC-OPF0
Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction0
Lower Bounds and Accelerated Algorithms for Bilevel Optimization0
MBL-CPDP: A Multi-objective Bilevel Method for Cross-Project Defect Prediction via Automated Machine Learning0
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator0
MetaStyle: Three-Way Trade-Off Among Speed, Flexibility, and Quality in Neural Style Transfer0
Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction0
MoML: Online Meta Adaptation for 3D Human Motion Prediction0
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Benchmark Results

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