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 201–250 of 423 papers

TitleStatusHype
A hybrid deep-learning-metaheuristic framework for bi-level network design problemsCode0
On Momentum-Based Gradient Methods for Bilevel Optimization with Nonconvex Lower-Level—0
Boosting Differentiable Causal Discovery via Adaptive Sample ReweightingCode1
Implicit Bilevel Optimization: Differentiating through Bilevel Optimization Programming—0
Nystrom Method for Accurate and Scalable Implicit DifferentiationCode1
A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization—0
Communication-Efficient Federated Bilevel Optimization with Local and Global Lower Level Problems—0
On Penalty-based Bilevel Gradient Descent MethodCode1
Achieving Linear Speedup in Non-IID Federated Bilevel Learning—0
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation—0
Efficient Gradient Approximation Method for Constrained Bilevel Optimization—0
A Fully First-Order Method for Stochastic Bilevel Optimization—0
Probabilistic Bilevel Coreset Selection—0
Valuing Distributed Energy Resources for Non-Wires Alternatives—0
Analyzing Inexact Hypergradients for Bilevel Learning—0
First-order penalty methods for bilevel optimization—0
Network Utility Maximization with Unknown Utility Functions: A Distributed, Data-Driven Bilevel Optimization Approach—0
On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis—0
MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic AdaptersCode0
On Implicit Bias in Overparameterized Bilevel Optimization—0
Saliency-Augmented Memory Completion for Continual LearningCode0
Asynchronous Distributed Bilevel OptimizationCode0
Selective classification using a robust meta-learning approach—0
CPMLHO:Hyperparameter Tuning via Cutting Plane and Mixed-Level Optimization—0
DIAMOND: Taming Sample and Communication Complexities in Decentralized Bilevel Optimization—0
Solving Bilevel Knapsack Problem using Graph Neural Networks—0
Alternating Implicit Projected SGD and Its Efficient Variants for Equality-constrained Bilevel OptimizationCode0
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel Programming—0
Fast Adaptive Federated Bilevel Optimization—0
Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity—0
Learning Sample Reweighting for Accuracy and Adversarial Robustness—0
Explainable bilevel optimization: an application to the Helsinki deblur challenge—0
A Data-Driven Sensor Placement Approach for Detecting Voltage Violations in Distribution Systems—0
Efficient Cross-Modal Video Retrieval with Meta-Optimized FramesCode0
How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?Code1
Few-shot Backdoor Attacks via Neural Tangent KernelsCode0
Decentralized Hyper-Gradient Computation over Time-Varying Directed NetworksCode0
Learning with Limited Samples -- Meta-Learning and Applications to Communication Systems—0
On Stability and Generalization of Bilevel Optimization Problem—0
Learning Variational Models with Unrolling and Bilevel Optimization—0
BOME! Bilevel Optimization Made Easy: A Simple First-Order ApproachCode1
Bilevel Optimization for Feature Selection in the Data-Driven Newsvendor Problem—0
Operational and Economy-Wide Impacts of Compound Cyberattacks and Extreme Weather Events on Electric Power Networks—0
A Globally Convergent Gradient-based Bilevel Hyperparameter Optimization Method—0
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification—0
Adapting Triplet Importance of Implicit Feedback for Personalized RecommendationCode0
INTERACT: Achieving Low Sample and Communication Complexities in Decentralized Bilevel Learning over Networks—0
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization—0
Learning Sparsity-Promoting Regularizers using Bilevel Optimization—0
Robust Network Architecture Search via Feature Distortion RestrainingCode0
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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