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 101–150 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
Efficient Prior Calibration From Indirect Data—0
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous DrivingCode2
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
Data Augmentation Policy Search for Long-Term Forecasting—0
iMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative LearningCode1
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
Generalizing Reward Modeling for Out-of-Distribution Preference LearningCode0
PI-CoF: A Bilevel Optimization Framework for Solving Active Learning Problems using Physics-Information—0
An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization—0
Conformal Predictive Programming for Chance Constrained Optimization—0
On the Complexity of First-Order Methods in Stochastic Bilevel Optimization—0
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF—0
Implicit Diffusion: Efficient Optimization through Stochastic Sampling—0
A Framework for Bilevel Optimization on Riemannian ManifoldsCode0
Decentralized Bilevel Optimization: A Perspective from Transient Iteration Complexity—0
Neur2BiLO: Neural Bilevel OptimizationCode1
Convex and Bilevel Optimization for Neuro-Symbolic Inference and LearningCode0
Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence AnalysisCode0
Joint Unsupervised and Supervised Training for Automatic Speech Recognition via Bilevel Optimization—0
MoML: Online Meta Adaptation for 3D Human Motion Prediction—0
From Text to Pixels: A Context-Aware Semantic Synergy Solution for Infrared and Visible Image Fusion—0
Decision-focused predictions via pessimistic bilevel optimization: a computational study—0
Diffusion-Driven Generative Framework for Molecular Conformation Prediction—0
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation—0
REBEL: Reward Regularization-Based Approach for Robotic Reinforcement Learning from Human Feedback—0
Achieving O(ε^-1.5) Complexity in Hessian/Jacobian-free Stochastic Bilevel Optimization—0
Uncertainty-Informed Renewable Energy Scheduling: A Scalable Bilevel Framework—0
iMatching: Imperative Correspondence LearningCode1
Gradient-based bilevel optimization for multi-penalty Ridge regression through matrix differential calculusCode0
MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learningCode1
Convexifying Regulation Market Clearing of State-of-Charge Dependent Bid—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