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 101–110 of 423 papers

TitleStatusHype
A Game-theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search—0
Adaptive Mirror Descent Bilevel Optimization—0
Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks—0
Bilevel Optimized Implicit Neural Representation for Scan-Specific Accelerated MRI Reconstruction—0
A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications—0
Combining Physics and Machine Learning for Network Flow Estimation—0
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation—0
Communication-Efficient Federated Bilevel Optimization with Local and Global Lower Level Problems—0
Communication-Efficient Robust Federated Learning with Noisy Labels—0
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics—0
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Benchmark Results

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