Imagen de Portada

Concentration of the Langevin Algorithm's Stationary Distribution

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Altschuler, Jason M., Talwar, Kunal
Formato:	Preprint
Publicado:	2022
Materias:	Machine Learning Probability Statistics Theory
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

High-dimensional Asymptotics of Langevin Dynamics in Spiked Matrix Models
por: Liang, Tengyuan, et al.
Publicado: (2022)

Time-Inhomogeneous Preconditioned Langevin Dynamics
por: Falk, Alexander, et al.
Publicado: (2026)

Approximating Langevin Monte Carlo with ResNet-like Neural Network architectures
por: Miranda, Charles, et al.
Publicado: (2023)

Parallelized Midpoint Randomization for Langevin Monte Carlo
por: Yu, Lu, et al.
Publicado: (2024)

Efficient Sampling on Riemannian Manifolds via Langevin MCMC
por: Cheng, Xiang, et al.
Publicado: (2024)

kTULA: A Langevin sampling algorithm with improved KL bounds under super-linear log-gradients
por: Lytras, Iosif, et al.
Publicado: (2025)

User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient
por: Dalalyan, Arnak S., et al.
Publicado: (2017)

Non-asymptotic estimates for accelerated high order Langevin Monte Carlo algorithms
por: Neufeld, Ariel, et al.
Publicado: (2024)

Convergence of Kinetic Langevin Monte Carlo on Lie groups
por: Kong, Lingkai, et al.
Publicado: (2024)

Sharp Concentration Inequalities: Phase Transition and Mixing of Orlicz Tails with Variance
por: Shen, Yinan, et al.
Publicado: (2026)

On Convergence of the Alternating Directions SGHMC Algorithm
por: Ghosh, Soumyadip, et al.
Publicado: (2024)

Sampling and estimation on manifolds using the Langevin diffusion
por: Bharath, Karthik, et al.
Publicado: (2023)

Hamiltonian Monte Carlo with Asymmetrical Momentum Distributions
por: Ghosh, Soumyadip, et al.
Publicado: (2021)

Non-asymptotic analysis of Langevin-type Monte Carlo algorithms
por: Nakakita, Shogo
Publicado: (2023)

A Dynamical System View of Langevin-Based Non-Convex Sampling
por: Karimi, Mohammad Reza, et al.
Publicado: (2022)

Convergence Bounds for Sequential Monte Carlo on Multimodal Distributions using Soft Decomposition
por: Lee, Holden, et al.
Publicado: (2024)

Convergence of Dirichlet Forms for MCMC Optimal Scaling with Dependent Target Distributions on Large Graphs
por: Ning, Ning
Publicado: (2022)

Unifying AMP Algorithms for Rotationally-Invariant Models
por: Liu, Songbin, et al.
Publicado: (2024)

Equilibrium Distribution for t-Distributed Stochastic Neighbor Embedding with Generalized Kernels
por: Gu, Yi
Publicado: (2025)

On Universality of Non-Separable Approximate Message Passing Algorithms
por: Lovig, Max, et al.
Publicado: (2025)

Optimality of Approximate Message Passing Algorithms for Spiked Matrix Models with Rotationally Invariant Noise
por: Dudeja, Rishabh, et al.
Publicado: (2024)

Restricted Spectral Gap Decomposition for Simulated Tempering Targeting Mixture Distributions
por: Garg, Jhanvi, et al.
Publicado: (2025)

Algorithmic warm starts for Hamiltonian Monte Carlo
por: Zhang, Matthew S., et al.
Publicado: (2026)

On Privately Estimating a Single Parameter
por: Asi, Hilal, et al.
Publicado: (2025)

Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion
por: He, Ye, et al.
Publicado: (2024)

Dynamic Structural Causal Models
por: Boeken, Philip, et al.
Publicado: (2024)

Are Bayesian networks typically faithful?
por: Boeken, Philip, et al.
Publicado: (2024)

Statistical limits of correlation detection in trees
por: Ganassali, Luca, et al.
Publicado: (2022)

Geometric Gaussian Approximations of Probability Distributions
por: Da Costa, Nathaël, et al.
Publicado: (2025)

Probabilistic Analysis of Least Squares, Orthogonal Projection, and QR Factorization Algorithms Subject to Gaussian Noise
por: Lotfi, Ali, et al.
Publicado: (2024)

Limit theorems of Chatterjee's rank correlation
por: Lin, Zhexiao, et al.
Publicado: (2022)

Off-the-grid prediction and testing for linear combination of translated features
por: Butucea, Cristina, et al.
Publicado: (2022)

Simultaneous off-the-grid learning of mixtures issued from a continuous dictionary
por: Butucea, Cristina, et al.
Publicado: (2022)

A Fourier representation of kernel Stein discrepancy with application to Goodness-of-Fit tests for measures on infinite dimensional Hilbert spaces
por: Wynne, George, et al.
Publicado: (2022)

Off-the-grid learning of mixtures from a continuous dictionary
por: Butucea, Cristina, et al.
Publicado: (2022)

Instance-dependent uniform tail bounds for empirical processes
por: Bahmani, Sohail
Publicado: (2022)

Learning with Expected Signatures: Theory and Applications
por: Lucchese, Lorenzo, et al.
Publicado: (2025)

Nonlinear Bayesian Update via Ensemble Kernel Regression with Clustering and Subsampling
por: Lee, Yoonsang
Publicado: (2025)

Tractability from overparametrization: The example of the negative perceptron
por: Montanari, Andrea, et al.
Publicado: (2021)

Diffusion Models with Heavy-Tailed Targets: Score Estimation and Sampling Guarantees
por: Yu, Yifeng, et al.
Publicado: (2026)