Saved in:
| Main Authors: | Guo, Wei, Tao, Molei, Chen, Yongxin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.16936 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Convergence of Kinetic Langevin Monte Carlo on Lie groups
by: Kong, Lingkai, et al.
Published: (2024)
by: Kong, Lingkai, et al.
Published: (2024)
Non-asymptotic estimates for accelerated high order Langevin Monte Carlo algorithms
by: Neufeld, Ariel, et al.
Published: (2024)
by: Neufeld, Ariel, et al.
Published: (2024)
Parallelized Midpoint Randomization for Langevin Monte Carlo
by: Yu, Lu, et al.
Published: (2024)
by: Yu, Lu, et al.
Published: (2024)
Complexity Analysis of Normalizing Constant Estimation: from Jarzynski Equality to Annealed Importance Sampling and beyond
by: Guo, Wei, et al.
Published: (2025)
by: Guo, Wei, et al.
Published: (2025)
User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient
by: Dalalyan, Arnak S., et al.
Published: (2017)
by: Dalalyan, Arnak S., et al.
Published: (2017)
Entropy contraction of the Gibbs sampler under log-concavity
by: Ascolani, Filippo, et al.
Published: (2024)
by: Ascolani, Filippo, et al.
Published: (2024)
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion
by: He, Ye, et al.
Published: (2024)
by: He, Ye, et al.
Published: (2024)
Improved Guarantees for Langevin Monte Carlo with Average Smoothness
by: Dalalyan, Arnak S., et al.
Published: (2026)
by: Dalalyan, Arnak S., et al.
Published: (2026)
Analysis of Langevin Monte Carlo from Poincaré to Log-Sobolev
by: Chewi, Sinho, et al.
Published: (2021)
by: Chewi, Sinho, et al.
Published: (2021)
Non-asymptotic analysis of Langevin-type Monte Carlo algorithms
by: Nakakita, Shogo
Published: (2023)
by: Nakakita, Shogo
Published: (2023)
High-accuracy sampling for diffusion models and log-concave distributions
by: Chen, Fan, et al.
Published: (2026)
by: Chen, Fan, et al.
Published: (2026)
Non-asymptotic error bounds for probability flow ODEs under weak log-concavity
by: Kremling, Gitte, et al.
Published: (2025)
by: Kremling, Gitte, et al.
Published: (2025)
Approximating Langevin Monte Carlo with ResNet-like Neural Network architectures
by: Miranda, Charles, et al.
Published: (2023)
by: Miranda, Charles, et al.
Published: (2023)
Posterior Sampling by Combining Diffusion Models with Annealed Langevin Dynamics
by: Xun, Zhiyang, et al.
Published: (2025)
by: Xun, Zhiyang, et al.
Published: (2025)
Spectral gap of Metropolis-within-Gibbs under log-concavity
by: Secchi, Cecilia, et al.
Published: (2025)
by: Secchi, Cecilia, et al.
Published: (2025)
Efficient Sampling on Riemannian Manifolds via Langevin MCMC
by: Cheng, Xiang, et al.
Published: (2024)
by: Cheng, Xiang, et al.
Published: (2024)
Convergence rate of random scan Coordinate Ascent Variational Inference under log-concavity
by: Lavenant, Hugo, et al.
Published: (2024)
by: Lavenant, Hugo, et al.
Published: (2024)
High-accuracy log-concave sampling with stochastic queries
by: Chen, Fan, et al.
Published: (2026)
by: Chen, Fan, et al.
Published: (2026)
Sampling from multimodal distributions with warm starts: Non-asymptotic bounds for the Reweighted Annealed Leap-Point Sampler
by: Lee, Holden, et al.
Published: (2025)
by: Lee, Holden, et al.
Published: (2025)
Sampling and estimation on manifolds using the Langevin diffusion
by: Bharath, Karthik, et al.
Published: (2023)
by: Bharath, Karthik, et al.
Published: (2023)
A proximal gradient algorithm for composite log-concave sampling
by: Liu, Linghai, et al.
Published: (2026)
by: Liu, Linghai, et al.
Published: (2026)
A mixing time bound for Gibbs sampling from log-smooth log-concave distributions
by: Wadia, Neha S.
Published: (2024)
by: Wadia, Neha S.
Published: (2024)
Monte Carlo inference for semiparametric Bayesian regression
by: Kowal, Daniel R., et al.
Published: (2023)
by: Kowal, Daniel R., et al.
Published: (2023)
GIST: Gibbs self-tuning for locally adaptive Hamiltonian Monte Carlo
by: Bou-Rabee, Nawaf, et al.
Published: (2024)
by: Bou-Rabee, Nawaf, et al.
Published: (2024)
Sampling conditioned diffusions via Pathspace Projected Monte Carlo
by: Grafke, Tobias
Published: (2025)
by: Grafke, Tobias
Published: (2025)
Complexity of Markov Chain Monte Carlo for Generalized Linear Models
by: Chak, Martin, et al.
Published: (2025)
by: Chak, Martin, et al.
Published: (2025)
An Improved Analysis of Langevin Algorithms with Prior Diffusion for Non-Log-Concave Sampling
by: Huang, Xunpeng, et al.
Published: (2024)
by: Huang, Xunpeng, et al.
Published: (2024)
Non-equilibrium Annealed Adjoint Sampler
by: Choi, Jaemoo, et al.
Published: (2025)
by: Choi, Jaemoo, et al.
Published: (2025)
Monte Carlo and quasi-Monte Carlo integration for likelihood functions
by: Tang, Yanbo
Published: (2025)
by: Tang, Yanbo
Published: (2025)
Time-Inhomogeneous Preconditioned Langevin Dynamics
by: Falk, Alexander, et al.
Published: (2026)
by: Falk, Alexander, et al.
Published: (2026)
Convergence of coordinate ascent variational inference for log-concave measures via optimal transport
by: Arnese, Manuel, et al.
Published: (2024)
by: Arnese, Manuel, et al.
Published: (2024)
Fluctuation without dissipation: Microcanonical Langevin Monte Carlo
by: Robnik, Jakob, et al.
Published: (2023)
by: Robnik, Jakob, et al.
Published: (2023)
A Dynamical System View of Langevin-Based Non-Convex Sampling
by: Karimi, Mohammad Reza, et al.
Published: (2022)
by: Karimi, Mohammad Reza, et al.
Published: (2022)
On the convergence of dynamic implementations of Hamiltonian Monte Carlo and No U-Turn Samplers
by: Durmus, Alain, et al.
Published: (2023)
by: Durmus, Alain, et al.
Published: (2023)
High-accuracy sampling from constrained spaces with the Metropolis-adjusted Preconditioned Langevin Algorithm
by: Srinivasan, Vishwak, et al.
Published: (2024)
by: Srinivasan, Vishwak, et al.
Published: (2024)
kTULA: A Langevin sampling algorithm with improved KL bounds under super-linear log-gradients
by: Lytras, Iosif, et al.
Published: (2025)
by: Lytras, Iosif, et al.
Published: (2025)
Tail-Sensitive KL and Rényi Convergence of Unadjusted Hamiltonian Monte Carlo via One-Shot Couplings
by: Bou-Rabee, Nawaf, et al.
Published: (2026)
by: Bou-Rabee, Nawaf, et al.
Published: (2026)
Intrinsic effective sample size for manifold-valued Markov chain Monte Carlo via kernel discrepancy
by: You, Kisung
Published: (2026)
by: You, Kisung
Published: (2026)
Fast and Efficient Parallel Sampling Using Higher Order Langevin Dynamics
by: Mahajan, Jaideep, et al.
Published: (2025)
by: Mahajan, Jaideep, et al.
Published: (2025)
Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation
by: Holzmüller, David, et al.
Published: (2023)
by: Holzmüller, David, et al.
Published: (2023)
Similar Items
-
Convergence of Kinetic Langevin Monte Carlo on Lie groups
by: Kong, Lingkai, et al.
Published: (2024) -
Non-asymptotic estimates for accelerated high order Langevin Monte Carlo algorithms
by: Neufeld, Ariel, et al.
Published: (2024) -
Parallelized Midpoint Randomization for Langevin Monte Carlo
by: Yu, Lu, et al.
Published: (2024) -
Complexity Analysis of Normalizing Constant Estimation: from Jarzynski Equality to Annealed Importance Sampling and beyond
by: Guo, Wei, et al.
Published: (2025) -
User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient
by: Dalalyan, Arnak S., et al.
Published: (2017)