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 8190 of 423 papers

TitleStatusHype
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
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel Programming0
A Novel Convergence Analysis for Algorithms of the Adam Family0
Achieving Linear Speedup in Non-IID Federated Bilevel Learning0
Conformal Predictive Programming for Chance Constrained Optimization0
Convergence Properties of Stochastic Hypergradients0
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset0
A Fully First-Order Method for Stochastic Bilevel Optimization0
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Benchmark Results

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