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2011.03176
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On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method
6 November 2020
Ye He
Krishnakumar Balasubramanian
Murat A. Erdogdu
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Papers citing
"On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method"
24 / 24 papers shown
A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers
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Alireza Mousavi-Hosseini
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Murat A. Erdogdu
322
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0
27 May 2024
The Poisson Midpoint Method for Langevin Dynamics: Provably Efficient Discretization for Diffusion Models
S. Kandasamy
Dheeraj M. Nagaraj
DiffM
392
9
0
27 May 2024
GIST: Gibbs self-tuning for locally adaptive Hamiltonian Monte Carlo
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Bob Carpenter
Milo Marsden
500
14
0
23 Apr 2024
Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities
Rocco Caprio
Juan Kuntz
Samuel Power
A. M. Johansen
494
14
0
04 Mar 2024
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion
Ye He
Kevin Rojas
Molei Tao
DiffM
519
21
0
27 Feb 2024
Parallelized Midpoint Randomization for Langevin Monte Carlo
Lu Yu
A. Dalalyan
412
10
0
22 Feb 2024
Sampling from the Mean-Field Stationary Distribution
Annual Conference Computational Learning Theory (COLT), 2024
Yunbum Kook
Matthew Shunshi Zhang
Sinho Chewi
Murat A. Erdogdu
Mufan Li
542
11
0
12 Feb 2024
Mean-field underdamped Langevin dynamics and its spacetime discretization
Qiang Fu
Ashia Wilson
515
5
0
26 Dec 2023
Nonlinear Hamiltonian Monte Carlo & its Particle Approximation
Nawaf Bou-Rabee
Katharina Schuh
219
8
0
22 Aug 2023
Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited
International Conference on Learning Representations (ICLR), 2023
Lu Yu
Avetik G. Karagulyan
A. Dalalyan
342
9
0
14 Jun 2023
Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality
Annual Conference Computational Learning Theory (COLT), 2023
Alireza Mousavi-Hosseini
Tyler Farghly
Ye He
Krishnakumar Balasubramanian
Murat A. Erdogdu
437
33
0
07 Mar 2023
Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed Sampling
Journal of machine learning research (JMLR), 2023
Ye He
Tyler Farghly
Krishnakumar Balasubramanian
Murat A. Erdogdu
316
7
0
01 Mar 2023
Faster high-accuracy log-concave sampling via algorithmic warm starts
IEEE Annual Symposium on Foundations of Computer Science (FOCS), 2023
Jason M. Altschuler
Sinho Chewi
384
52
0
20 Feb 2023
Improved dimension dependence of a proximal algorithm for sampling
Annual Conference Computational Learning Theory (COLT), 2023
JiaoJiao Fan
Bo Yuan
Yongxin Chen
534
37
0
20 Feb 2023
Improved Discretization Analysis for Underdamped Langevin Monte Carlo
Annual Conference Computational Learning Theory (COLT), 2023
Matthew Shunshi Zhang
Sinho Chewi
Mufan Li
Krishnakumar Balasubramanian
Murat A. Erdogdu
310
39
0
16 Feb 2023
Unadjusted Hamiltonian MCMC with Stratified Monte Carlo Time Integration
The Annals of Applied Probability (Ann. Appl. Probab.), 2022
Nawaf Bou-Rabee
Milo Marsden
319
15
0
20 Nov 2022
A Dynamical System View of Langevin-Based Non-Convex Sampling
Neural Information Processing Systems (NeurIPS), 2022
Mohammad Reza Karimi
Ya-Ping Hsieh
Andreas Krause
384
4
0
25 Oct 2022
Heavy-tailed Sampling via Transformed Unadjusted Langevin Algorithm
Ye He
Krishnakumar Balasubramanian
Murat A. Erdogdu
256
7
0
20 Jan 2022
Optimal friction matrix for underdamped Langevin sampling
Martin Chak
N. Kantas
T. Lelièvre
G. Pavliotis
158
12
0
30 Nov 2021
The shifted ODE method for underdamped Langevin MCMC
James Foster
Terry Lyons
Harald Oberhauser
307
16
0
10 Jan 2021
Random Coordinate Underdamped Langevin Monte Carlo
Zhiyan Ding
Qin Li
Jianfeng Lu
Stephen J. Wright
BDL
273
14
0
22 Oct 2020
Convergence of Langevin Monte Carlo in Chi-Squared and Renyi Divergence
Murat A. Erdogdu
Rasa Hosseinzadeh
Matthew Shunshi Zhang
535
50
0
22 Jul 2020
Hessian-Free High-Resolution Nesterov Acceleration for Sampling
Ruilin Li
H. Zha
Molei Tao
474
10
0
16 Jun 2020
On the Convergence of Langevin Monte Carlo: The Interplay between Tail Growth and Smoothness
Annual Conference Computational Learning Theory (COLT), 2020
Murat A. Erdogdu
Rasa Hosseinzadeh
329
84
0
27 May 2020
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