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

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Showing 176–200 of 423 papers

TitleStatusHype
A Provably Convergent Plug-and-Play Framework for Stochastic Bilevel Optimization—0
A Generalized Alternating Method for Bilevel Learning under the Polyak-Łojasiewicz Condition—0
Adaptive Training Distributions with Scalable Online Bilevel Optimization—0
Application-Driven Learning: A Closed-Loop Prediction and Optimization Approach Applied to Dynamic Reserves and Demand Forecasting—0
A Game-theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search—0
GL-GAN: Adaptive Global and Local Bilevel Optimization model of Image Generation—0
BODAME: Bilevel Optimization for Defense Against Model Extraction—0
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel Programming—0
Generalized Sparse Additive Model with Unknown Link Function—0
Generalization Guarantees for Neural Architecture Search with Train-Validation Split—0
A Novel Convergence Analysis for Algorithms of the Adam Family—0
A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse—0
Achieving Linear Speedup in Non-IID Federated Bilevel Learning—0
Accelerated Fully First-Order Methods for Bilevel and Minimax Optimization—0
Gaussian Process-based Approach for Bilevel Optimization in the Power System -- A Critical Load Restoration Case—0
Game-theoretic Energy Management Strategies With Interacting Agents in Formula 1—0
GABO: Graph Augmentations with Bi-level Optimization—0
BiSSL: Enhancing the Alignment Between Self-Supervised Pretraining and Downstream Fine-Tuning via Bilevel Optimization—0
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset—0
Generating Poisoning Attacks against Ridge Regression Models with Categorical Features—0
Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing—0
Fully First-Order Methods for Decentralized Bilevel Optimization—0
GPN: A Joint Structural Learning Framework for Graph Neural Networks—0
From Text to Pixels: A Context-Aware Semantic Synergy Solution for Infrared and Visible Image Fusion—0
Bilevel ZOFO: Bridging Parameter-Efficient and Zeroth-Order Techniques for Efficient LLM Fine-Tuning and Meta-Training—0
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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