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 6170 of 423 papers

TitleStatusHype
Bilevel Optimized Implicit Neural Representation for Scan-Specific Accelerated MRI Reconstruction0
A Gradient Method for Multilevel Optimization0
A unified algorithm framework for mean-variance optimization in discounted Markov decision processes0
Achieving O(ε^-1.5) Complexity in Hessian/Jacobian-free Stochastic Bilevel Optimization0
Bi-Level Policy Optimization with Nyström Hypergradients0
A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic0
A Gradient-based Bilevel Optimization Approach for Tuning Hyperparameters in Machine Learning0
AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks0
A stochastic gradient method for trilevel optimization0
A Stackelberg game for incentive-based demand response in energy markets0
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Benchmark Results

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