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 161170 of 423 papers

TitleStatusHype
Riemannian Bilevel Optimization0
Game-theoretic Energy Management Strategies With Interacting Agents in Formula 10
Data Augmentation Policy Search for Long-Term Forecasting0
Accelerated Fully First-Order Methods for Bilevel and Minimax Optimization0
BiLO: Bilevel Local Operator Learning for PDE inverse problemsCode0
LancBiO: dynamic Lanczos-aided bilevel optimization via Krylov subspaceCode0
Functional Bilevel Optimization for Machine LearningCode0
Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing0
Whiteness-based bilevel learning of regularization parameters in imaging0
BloomGML: Graph Machine Learning through the Lens of Bilevel OptimizationCode0
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Benchmark Results

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