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 151–200 of 423 papers

TitleStatusHype
Efficient Evolutionary Algorithm for Single-Objective Bilevel Optimization—0
AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph Neural Networks For Enhanced Unified Representation—0
Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization—0
Bilevel learning of the Group Lasso structure—0
Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning under Preference Guidance—0
Efficient Gradient Approximation Method for Constrained Bilevel Optimization—0
Efficiently Escaping Saddle Points in Bilevel Optimization—0
Efficient Prior Calibration From Indirect Data—0
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence—0
EMPL: A novel Efficient Meta Prompt Learning Framework for Few-shot Unsupervised Domain Adaptation—0
Enhanced Bilevel Optimization via Bregman Distance—0
Enhancing Generalization via Sharpness-Aware Trajectory Matching for Dataset Condensation—0
Bilevel Optimization for Feature Selection in the Data-Driven Newsvendor Problem—0
Enhancing Sharpness-Aware Minimization by Learning Perturbation Radius—0
ES-Based Jacobian Enables Faster Bilevel Optimization—0
Integrated Optimization of Predictive and Prescriptive Tasks—0
Bilevel learning of l1-regularizers with closed-form gradients(BLORC)—0
Bilevel Optimization for Real-Time Control with Application to Locomotion Gait Generation—0
Exergy Battery Modeling and P2P Trading Based Optimal Operation of Virtual Energy Station—0
Explainable bilevel optimization: an application to the Helsinki deblur challenge—0
Effective Bilevel Optimization via Minimax Reformulation—0
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising—0
Task-Oriented Convex Bilevel Optimization with Latent Feasibility—0
Fast Adaptive Federated Bilevel Optimization—0
Adversarial Nonnegative Matrix Factorization—0
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization—0
Federated Neuro-Symbolic Learning—0
PETA: Parameter-Efficient Trojan Attacks—0
Bilevel reinforcement learning via the development of hyper-gradient without lower-level convexity—0
First-Order Methods for Linearly Constrained Bilevel Optimization—0
First-order penalty methods for bilevel optimization—0
Implicit Differentiation for Hyperparameter Tuning the Weighted Graphical Lasso—0
Double Momentum Method for Lower-Level Constrained Bilevel Optimization—0
OGAN: Disrupting Deepfakes with an Adversarial Attack that Survives Training—0
Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing—0
Bilevel ZOFO: Bridging Parameter-Efficient and Zeroth-Order Techniques for Efficient LLM Fine-Tuning and Meta-Training—0
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum—0
Game-theoretic Energy Management Strategies With Interacting Agents in Formula 1—0
Gaussian Process-based Approach for Bilevel Optimization in the Power System -- A Critical Load Restoration Case—0
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset—0
Bilevel Continual Learning—0
Generalization Guarantees for Neural Architecture Search with Train-Validation Split—0
Discrepancy-Optimal Meta-Learning for Domain Generalization—0
Generalized Sparse Additive Model with Unknown Link Function—0
Generating Poisoning Attacks against Ridge Regression Models with Categorical Features—0
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy—0
Implicit Bilevel Optimization: Differentiating through Bilevel Optimization Programming—0
GPN: A Joint Structural Learning Framework for Graph Neural Networks—0
Implicit Diffusion: Efficient Optimization through Stochastic Sampling—0
Integrating process design and control using reinforcement learning—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