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 1120 of 423 papers

TitleStatusHype
Learning diffusion at lightspeedCode1
GS-Phong: Meta-Learned 3D Gaussians for Relightable Novel View SynthesisCode1
iMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative LearningCode1
Reinforcement Learning-based Receding Horizon Control using Adaptive Control Barrier Functions for Safety-Critical SystemsCode1
Neur2BiLO: Neural Bilevel OptimizationCode1
iMatching: Imperative Correspondence LearningCode1
MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learningCode1
Embarassingly Simple Dataset DistillationCode1
Self-Supervised Dataset Distillation for Transfer LearningCode1
RemovalNet: DNN Fingerprint Removal AttacksCode1
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Benchmark Results

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