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 251260 of 423 papers

TitleStatusHype
Solving Bilevel Optimal Bidding Problems Using Deep Convolutional Neural Networks0
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient MethodsCode0
On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network0
Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction0
Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks0
Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural NetworksCode0
A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level ProblemCode0
Communication-Efficient Robust Federated Learning with Noisy Labels0
Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective0
Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization0
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Benchmark Results

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