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 151160 of 423 papers

TitleStatusHype
A Data-Driven Sensor Placement Approach for Detecting Voltage Violations in Distribution Systems0
Convexifying Regulation Market Clearing of State-of-Charge Dependent Bid0
A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic0
Convergent Reinforcement Learning with Function Approximation: A Bilevel Optimization Perspective0
Convergence Properties of Stochastic Hypergradients0
A Gradient-based Bilevel Optimization Approach for Tuning Hyperparameters in Machine Learning0
Convergence and Sample Complexity of SGD in GANs0
Contextual Stochastic Bilevel Optimization0
A stochastic gradient method for trilevel optimization0
Consistency analysis of bilevel data-driven learning in inverse problems0
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Benchmark Results

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