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 281290 of 423 papers

TitleStatusHype
Efficiently Escaping Saddle Points in Bilevel Optimization0
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-startCode1
Deep invariant networks with differentiable augmentation layersCode1
Single Time-scale Actor-critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees0
A framework for bilevel optimization that enables stochastic and global variance reduction algorithmsCode1
Joint Differentiable Optimization and Verification for Certified Reinforcement Learning0
Bilevel Online Deep Learning in Non-stationary Environment0
A unified algorithm framework for mean-variance optimization in discounted Markov decision processes0
Modeling Mask Uncertainty in Hyperspectral Image ReconstructionCode1
On Automatic Data Augmentation for 3D Point Cloud ClassificationCode0
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Benchmark Results

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