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 261270 of 423 papers

TitleStatusHype
On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network0
Supervised Sparse Analysis and Synthesis Operators0
System-Level Efficient Performance of EMLA-Driven Heavy-Duty Manipulators via Bilevel Optimization Framework with a Leader--Follower Scenario0
Targeted Unlearning Using Perturbed Sign Gradient Methods With Applications On Medical Images0
Tighter Analysis of Alternating Stochastic Gradient Method for Stochastic Nested Problems0
Towards Adversarial Robustness via Transductive Learning0
Towards Extremely Fast Bilevel Optimization with Self-governed Convergence Guarantees0
Towards Poisoning Fair Representations0
Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning0
Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective0
Show:102550
← PrevPage 27 of 43Next →

Benchmark Results

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