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 301–325 of 423 papers

TitleStatusHype
Age of Information Optimization in a RIS-Assisted Wireless Network—0
A Globally Convergent Gradient-based Bilevel Hyperparameter Optimization Method—0
A Gradient-based Bilevel Optimization Approach for Tuning Hyperparameters in Machine Learning—0
A Gradient Method for Multilevel Optimization—0
A Learnable Variational Model for Joint Multimodal MRI Reconstruction and Synthesis—0
Algorithmic Foundations of Empirical X-risk Minimization—0
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback—0
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum—0
AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph Neural Networks For Enhanced Unified Representation—0
An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization—0
Analyzing Inexact Hypergradients for Bilevel Learning—0
A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization—0
An Efficient Dynamic Resource Allocation Framework for Evolutionary Bilevel Optimization—0
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset—0
A Novel Convergence Analysis for Algorithms of the Adam Family—0
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel Programming—0
Application-Driven Learning: A Closed-Loop Prediction and Optimization Approach Applied to Dynamic Reserves and Demand Forecasting—0
A Provably Convergent Plug-and-Play Framework for Stochastic Bilevel Optimization—0
A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications—0
A Single-Loop Algorithm for Decentralized Bilevel Optimization—0
A Single-Timescale Method for Stochastic Bilevel Optimization—0
A Stackelberg game for incentive-based demand response in energy markets—0
A stochastic gradient method for trilevel optimization—0
A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic—0
A unified algorithm framework for mean-variance optimization in discounted Markov decision processes—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