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 61–70 of 423 papers

TitleStatusHype
Bilevel Optimized Implicit Neural Representation for Scan-Specific Accelerated MRI Reconstruction—0
A Gradient Method for Multilevel Optimization—0
A unified algorithm framework for mean-variance optimization in discounted Markov decision processes—0
Achieving O(ε^-1.5) Complexity in Hessian/Jacobian-free Stochastic Bilevel Optimization—0
Bi-Level Policy Optimization with Nyström Hypergradients—0
A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic—0
A Gradient-based Bilevel Optimization Approach for Tuning Hyperparameters in Machine Learning—0
AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks—0
A stochastic gradient method for trilevel optimization—0
A Stackelberg game for incentive-based demand response in energy markets—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