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 101–125 of 423 papers

TitleStatusHype
AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph Neural Networks For Enhanced Unified Representation—0
Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence TruncationCode0
Contextual Bilevel Reinforcement Learning for Incentive AlignmentCode0
GS-Phong: Meta-Learned 3D Gaussians for Relightable Novel View SynthesisCode1
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning—0
Bilevel reinforcement learning via the development of hyper-gradient without lower-level convexity—0
SPABA: A Single-Loop and Probabilistic Stochastic Bilevel Algorithm Achieving Optimal Sample Complexity—0
Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees—0
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous DrivingCode2
Efficient Prior Calibration From Indirect Data—0
Riemannian Bilevel Optimization—0
Game-theoretic Energy Management Strategies With Interacting Agents in Formula 1—0
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific DiscoveryCode2
Accelerated Fully First-Order Methods for Bilevel and Minimax Optimization—0
iMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative LearningCode1
Data Augmentation Policy Search for Long-Term Forecasting—0
BiLO: Bilevel Local Operator Learning for PDE inverse problemsCode0
LancBiO: dynamic Lanczos-aided bilevel optimization via Krylov subspaceCode0
Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing—0
Functional Bilevel Optimization for Machine LearningCode0
Reinforcement Learning-based Receding Horizon Control using Adaptive Control Barrier Functions for Safety-Critical SystemsCode1
Whiteness-based bilevel learning of regularization parameters in imaging—0
BloomGML: Graph Machine Learning through the Lens of Bilevel OptimizationCode0
Enhancing Hypergradients Estimation: A Study of Preconditioning and ReparameterizationCode0
Concurrent Learning of Policy and Unknown Safety Constraints in 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