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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 423 papers

TitleStatusHype
Age of Information Optimization in a RIS-Assisted Wireless Network—0
A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications—0
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
A Game-theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search—0
Application-Driven Learning: A Closed-Loop Prediction and Optimization Approach Applied to Dynamic Reserves and Demand Forecasting—0
A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse—0
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel Programming—0
A Novel Convergence Analysis for Algorithms of the Adam Family—0
Achieving Linear Speedup in Non-IID Federated Bilevel Learning—0
CPMLHO:Hyperparameter Tuning via Cutting Plane and Mixed-Level Optimization—0
Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks—0
BiSSL: Enhancing the Alignment Between Self-Supervised Pretraining and Downstream Fine-Tuning via Bilevel Optimization—0
Convergence Properties of Stochastic Hypergradients—0
Bilevel ZOFO: Bridging Parameter-Efficient and Zeroth-Order Techniques for Efficient LLM Fine-Tuning and Meta-Training—0
A Fully First-Order Method for Stochastic Bilevel Optimization—0
Convergent Reinforcement Learning with Function Approximation: A Bilevel Optimization Perspective—0
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset—0
An Efficient Dynamic Resource Allocation Framework for Evolutionary Bilevel Optimization—0
Bilevel reinforcement learning via the development of hyper-gradient without lower-level convexity—0
BODAME: Bilevel Optimization for Defense Against Model Extraction—0
A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization—0
Bilevel Programs Meet Deep Learning: A Unifying View on Inference Learning Methods—0
Bi-Level Policy Optimization with Nyström Hypergradients—0
Show:102550
← PrevPage 4 of 17Next →
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