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
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