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 291300 of 423 papers

TitleStatusHype
Adaptive Mirror Descent Bilevel Optimization0
Adaptive Training Distributions with Scalable Online Bilevel Optimization0
AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks0
A Data-Driven Sensor Placement Approach for Detecting Voltage Violations in Distribution Systems0
Adversarial Nonnegative Matrix Factorization0
A First-order Generative Bilevel Optimization Framework for Diffusion Models0
A Fully First-Order Method for Stochastic Bilevel Optimization0
A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse0
A Game-theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search0
A Generalized Alternating Method for Bilevel Learning under the Polyak-Łojasiewicz Condition0
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Benchmark Results

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