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 111–120 of 423 papers

TitleStatusHype
Conformal Predictive Programming for Chance Constrained Optimization—0
Consistency analysis of bilevel data-driven learning in inverse problems—0
Contextual Stochastic Bilevel Optimization—0
Convergence and Sample Complexity of SGD in GANs—0
Convergence Properties of Stochastic Hypergradients—0
Convergent Reinforcement Learning with Function Approximation: A Bilevel Optimization Perspective—0
A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic—0
Convexifying Regulation Market Clearing of State-of-Charge Dependent Bid—0
Convolutional Dictionary Learning Based Hybrid-Field Channel Estimation for XL-RIS-Aided Massive MIMO Systems—0
Bilevel Optimized Implicit Neural Representation for Scan-Specific Accelerated MRI Reconstruction—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