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 301–350 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
Bayesian Optimization of Bilevel Problems—0
Beyond backpropagation: bilevel optimization through implicit differentiation and equilibrium propagation—0
BiAdam: Fast Adaptive Bilevel Optimization Methods—0
BiGrad: Differentiating through Bilevel Optimization Programming—0
Bilevel Continual Learning—0
Task-Oriented Convex Bilevel Optimization with Latent Feasibility—0
Bilevel learning of l1-regularizers with closed-form gradients(BLORC)—0
Bilevel learning of the Group Lasso structure—0
Bilevel Model for Electricity Market Mechanism Optimisation via Quantum Computing Enhanced Reinforcement Learning—0
Bilevel Online Deep Learning in Non-stationary Environment—0
Bilevel Optimization, Deep Learning and Fractional Laplacian Regularization with Applications in Tomography—0
Bilevel Optimization for Differentially Private Optimization in Energy Systems—0
Bilevel Optimization for Feature Selection in the Data-Driven Newsvendor Problem—0
Bilevel Optimization for Machine Learning: Algorithm Design and Convergence Analysis—0
Bilevel Optimization for Real-Time Control with Application to Locomotion Gait Generation—0
Bilevel Optimized Implicit Neural Representation for Scan-Specific Accelerated MRI Reconstruction—0
Bi-Level Policy Optimization with Nyström Hypergradients—0
Bilevel Programs Meet Deep Learning: A Unifying View on Inference Learning Methods—0
Bilevel reinforcement learning via the development of hyper-gradient without lower-level convexity—0
Bilevel ZOFO: Bridging Parameter-Efficient and Zeroth-Order Techniques for Efficient LLM Fine-Tuning and Meta-Training—0
BiSSL: Enhancing the Alignment Between Self-Supervised Pretraining and Downstream Fine-Tuning via Bilevel Optimization—0
BODAME: Bilevel Optimization for Defense Against Model Extraction—0
Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems—0
Combining Physics and Machine Learning for Network Flow Estimation—0
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation—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