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 7180 of 423 papers

TitleStatusHype
A Single-Timescale Method for Stochastic Bilevel Optimization0
A Single-Loop Algorithm for Decentralized Bilevel Optimization0
Age of Information Optimization in a RIS-Assisted Wireless Network0
A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications0
A Provably Convergent Plug-and-Play Framework for Stochastic Bilevel Optimization0
A Generalized Alternating Method for Bilevel Learning under the Polyak-Łojasiewicz Condition0
Adaptive Training Distributions with Scalable Online Bilevel Optimization0
A Game-theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search0
Application-Driven Learning: A Closed-Loop Prediction and Optimization Approach Applied to Dynamic Reserves and Demand Forecasting0
A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse0
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Benchmark Results

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