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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

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Showing 91–100 of 423 papers

TitleStatusHype
Bilevel ZOFO: Bridging Parameter-Efficient and Zeroth-Order Techniques for Efficient LLM Fine-Tuning and Meta-Training—0
A Fully First-Order Method for Stochastic Bilevel Optimization—0
Convergent Reinforcement Learning with Function Approximation: A Bilevel Optimization Perspective—0
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset—0
An Efficient Dynamic Resource Allocation Framework for Evolutionary Bilevel Optimization—0
Bilevel reinforcement learning via the development of hyper-gradient without lower-level convexity—0
BODAME: Bilevel Optimization for Defense Against Model Extraction—0
A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization—0
Bilevel Programs Meet Deep Learning: A Unifying View on Inference Learning Methods—0
Bi-Level Policy Optimization with Nyström Hypergradients—0
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All datasetsEquilibrium-Traffic-Networks/AnaheimEquilibrium-Traffic-Networks/Eastern MassachusettsEquilibrium-Traffic-Networks/Sioux Falls

Benchmark Results

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