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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

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Showing 76–100 of 423 papers

TitleStatusHype
Using Synthetic Data to Mitigate Unfairness and Preserve Privacy in Collaborative Machine Learning—0
Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer DistanceCode0
CoBo: Collaborative Learning via Bilevel OptimizationCode0
Pareto Set Prediction Assisted Bilevel Multi-objective Optimization—0
Unlocking Global Optimality in Bilevel Optimization: A Pilot Study—0
On Stability in Optimistic Bilevel Optimization—0
Rooftop and Community Solar Adoption with Income Heterogeneity—0
Preference-Optimized Pareto Set Learning for Blackbox OptimizationCode0
Enhancing Sharpness-Aware Minimization by Learning Perturbation Radius—0
AutoScale: Scale-Aware Data Mixing for Pre-Training LLMsCode1
Optimal Hessian/Jacobian-Free Nonconvex-PL Bilevel Optimization—0
Improving SAM Requires Rethinking its Optimization FormulationCode0
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor AttacksCode0
SSP-GNN: Learning to Track via Bilevel Optimization—0
EMPL: A novel Efficient Meta Prompt Learning Framework for Few-shot Unsupervised Domain Adaptation—0
Decomposition of Difficulties in Complex Optimization Problems Using a Bilevel Approach—0
Joint Design of Conventional Public Transport Network and Mobility on Demand—0
ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting—0
Efficient and Effective Implicit Dynamic Graph Neural NetworkCode0
Double Momentum Method for Lower-Level Constrained Bilevel Optimization—0
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy—0
SAIL: Self-Improving Efficient Online Alignment of Large Language Models—0
First-Order Methods for Linearly Constrained Bilevel Optimization—0
Learning diffusion at lightspeedCode1
A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled ConstraintsCode0
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All datasetsEquilibrium-Traffic-Networks/AnaheimEquilibrium-Traffic-Networks/Eastern MassachusettsEquilibrium-Traffic-Networks/Sioux Falls

Benchmark Results

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