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 110 of 423 papers

TitleStatusHype
GuiLoMo: Allocating Expert Number and Rank for LoRA-MoE via Bilevel Optimization with GuidedSelection VectorsCode0
Restarted contractive operators to learn at equilibrium0
Differentially Private Bilevel Optimization: Efficient Algorithms with Near-Optimal Rates0
Policy Optimization for Continuous-time Linear-Quadratic Graphon Mean Field Games0
Unit Commitment with Cost-Oriented Temporal Resolution0
MISLEADER: Defending against Model Extraction with Ensembles of Distilled ModelsCode0
Multi-period Mean-Buffered Probability of Exceedance in Defined Contribution Portfolio Optimization0
Targeted Unlearning Using Perturbed Sign Gradient Methods With Applications On Medical Images0
Learning Where to Learn: Training Distribution Selection for Provable OOD PerformanceCode0
Persistently Exciting Online Feedback Optimization Controller with Minimal Perturbations0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GIN-GAOptimality Gap0.48Unverified