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 3140 of 423 papers

TitleStatusHype
Deep invariant networks with differentiable augmentation layersCode1
Embarassingly Simple Dataset DistillationCode1
Adversarial Immunization for Certifiable Robustness on GraphsCode1
Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response JacobiansCode1
AutoScale: Scale-Aware Data Mixing for Pre-Training LLMsCode1
On the Convergence Theory for Hessian-Free Bilevel AlgorithmsCode1
Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg EquilibriumCode1
From Hypergraph Energy Functions to Hypergraph Neural NetworksCode1
HypBO: Accelerating Black-Box Scientific Experiments Using Experts' HypothesesCode1
How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?Code1
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Benchmark Results

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