Image de couverture de livre

Convergence of Reflected Langevin Diffusion for Constrained Sampling

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Mane, Tarika, Boukardagha, Amine
Format:	Preprint
Publié:	2025
Sujets:	Probability Statistics Theory
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Convergence rate of randomized midpoint Langevin Monte Carlo
par: Li, Ruinan, et autres
Publié: (2025)

Convergence of Kinetic Langevin Monte Carlo on Lie groups
par: Kong, Lingkai, et autres
Publié: (2024)

Uniform Convergence Rate of the Nonparametric Estimator for Integrated Diffusion Processes
par: Ji, Shaolin, et autres
Publié: (2024)

Efficient Sampling on Riemannian Manifolds via Langevin MCMC
par: Cheng, Xiang, et autres
Publié: (2024)

Non-asymptotic Analysis of Poisson randomized midpoint Langevin Monte Carlo
par: Shen, Tian, et autres
Publié: (2025)

Self-normalized Cramér-type Moderate Deviation of Stochastic Gradient Langevin Dynamics
par: Dai, Hongsheng, et autres
Publié: (2024)

Dynamical mean-field analysis of adaptive Langevin diffusions: Propagation-of-chaos and convergence of the linear response
par: Fan, Zhou, et autres
Publié: (2025)

Sampling and estimation on manifolds using the Langevin diffusion
par: Bharath, Karthik, et autres
Publié: (2023)

Concentration of the Langevin Algorithm's Stationary Distribution
par: Altschuler, Jason M., et autres
Publié: (2022)

Sampling from Constrained Gibbs Measures: with Applications to High-Dimensional Bayesian Inference
par: Wang, Ruixiao, et autres
Publié: (2026)

Convergence of Langevin AIS for multimodal distributions
par: Agarwal, Akshat, et autres
Publié: (2026)

A Dynamical System View of Langevin-Based Non-Convex Sampling
par: Karimi, Mohammad Reza, et autres
Publié: (2022)

High-dimensional Asymptotics of Langevin Dynamics in Spiked Matrix Models
par: Liang, Tengyuan, et autres
Publié: (2022)

Time-Inhomogeneous Preconditioned Langevin Dynamics
par: Falk, Alexander, et autres
Publié: (2026)

Sharp Convergence Rates for Empirical Optimal Transport with Smooth Costs
par: Manole, Tudor, et autres
Publié: (2021)

Rates of Convergence of the Magnetization in the Tensor Curie-Weiss Potts Model
par: Bhowal, Sanchayan, et autres
Publié: (2024)

Optimistic Estimation of Convergence in Markov Chains with the Average-Mixing Time
par: Wolfer, Geoffrey, et autres
Publié: (2024)

Convergence Analysis of a Greedy Algorithm for Conditioning Gaussian Random Variables
par: Winkle, Daniel, et autres
Publié: (2025)

Convergence of the empirical two-sample $U$-statistics with $β$-mixing data
par: Dehling, Herold, et autres
Publié: (2020)

Parallelized Midpoint Randomization for Langevin Monte Carlo
par: Yu, Lu, et autres
Publié: (2024)

Geometry-Aware Langevin Sampling for Matrix-Valued Graph Learning
par: Dey, Papri
Publié: (2026)

Approximating Langevin Monte Carlo with ResNet-like Neural Network architectures
par: Miranda, Charles, et autres
Publié: (2023)

Convergence Rate of the Solution of Multi-marginal Schrodinger Bridge Problem with Marginal Constraints from SDEs
par: Yao, Rentian, et autres
Publié: (2025)

Concentration Inequalities for Sample Cross-Covariances
par: Chen, Jiaheng, et autres
Publié: (2026)

Diffusion Models with Heavy-Tailed Targets: Score Estimation and Sampling Guarantees
par: Yu, Yifeng, et autres
Publié: (2026)

Bulk Spectra of Truncated Sample Covariance Matrices
par: Ghosh, Subhroshekhar, et autres
Publié: (2024)

HMC and underdamped Langevin united in the unadjusted convex smooth case
par: Gouraud, Nicolaï, et autres
Publié: (2022)

User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient
par: Dalalyan, Arnak S., et autres
Publié: (2017)

Two-Sample Tests for Optimal Lifts, Manifold Stability and Reverse Labeling Reflection Shap
par: Van, Do Tran, et autres
Publié: (2025)

Stochastic Transport Maps in Diffusion Models and Sampling
par: Zhang, Xicheng
Publié: (2025)

Two-Sample Covariance Inference in High-Dimensional Elliptical Models
par: Dörnemann, Nina
Publié: (2025)

Sample complexity for divergence regularized optimal transport with radial cost
par: Han, Ruiyu, et autres
Publié: (2025)

On the Mathematical foundations of Diffusion Monte Carlo
par: Caffarel, Michel, et autres
Publié: (2024)

kTULA: A Langevin sampling algorithm with improved KL bounds under super-linear log-gradients
par: Lytras, Iosif, et autres
Publié: (2025)

Non-asymptotic estimates for accelerated high order Langevin Monte Carlo algorithms
par: Neufeld, Ariel, et autres
Publié: (2024)

Limit Theorems for One-Dimensional Homogenized Diffusion Processes
par: Borodavka, Jaroslav I., et autres
Publié: (2025)

Regularity Conditions for Critical Point Convergence
par: Maullin-Sapey, Thomas J., et autres
Publié: (2025)

On Convergence of the Alternating Directions SGHMC Algorithm
par: Ghosh, Soumyadip, et autres
Publié: (2024)

A New Two-Sample Test for Covariance Matrices in High Dimensions: U-Statistics Meet Leading Eigenvalues
par: Lam, Thomas, et autres
Publié: (2025)

Provable Diffusion Posterior Sampling for Bayesian Inversion
par: Chang, Jinyuan, et autres
Publié: (2025)