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
Analyzing Inexact Hypergradients for Bilevel Learning0
A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization0
An Efficient Dynamic Resource Allocation Framework for Evolutionary Bilevel Optimization0
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset0
A Novel Convergence Analysis for Algorithms of the Adam Family0
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel Programming0
Application-Driven Learning: A Closed-Loop Prediction and Optimization Approach Applied to Dynamic Reserves and Demand Forecasting0
A Provably Convergent Plug-and-Play Framework for Stochastic Bilevel Optimization0
A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications0
A Single-Loop Algorithm for Decentralized Bilevel Optimization0
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Benchmark Results

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