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 71–80 of 423 papers

TitleStatusHype
A Single-Timescale Method for Stochastic Bilevel Optimization—0
A Single-Loop Algorithm for Decentralized Bilevel Optimization—0
Age of Information Optimization in a RIS-Assisted Wireless Network—0
A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications—0
A Provably Convergent Plug-and-Play Framework for Stochastic Bilevel Optimization—0
A Generalized Alternating Method for Bilevel Learning under the Polyak-Łojasiewicz Condition—0
Adaptive Training Distributions with Scalable Online Bilevel Optimization—0
A Game-theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search—0
Application-Driven Learning: A Closed-Loop Prediction and Optimization Approach Applied to Dynamic Reserves and Demand Forecasting—0
A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse—0
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Benchmark Results

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