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Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed
  Sampling

Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed Sampling

1 March 2023
Ye He
Tyler Farghly
Krishnakumar Balasubramanian
Murat A. Erdogdu
ArXivPDFHTML

Papers citing "Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed Sampling"

7 / 7 papers shown
Title
Stereographic Markov Chain Monte Carlo
Stereographic Markov Chain Monte Carlo
Jun Yang
K. Latuszyñski
Gareth O. Roberts
27
13
0
24 May 2022
Heavy-tailed Sampling via Transformed Unadjusted Langevin Algorithm
Heavy-tailed Sampling via Transformed Unadjusted Langevin Algorithm
Ye He
Krishnakumar Balasubramanian
Murat A. Erdogdu
33
5
0
20 Jan 2022
Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for
  Log-Concave Sampling
Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling
Keru Wu
S. Schmidler
Yuansi Chen
34
50
0
27 Sep 2021
The Mirror Langevin Algorithm Converges with Vanishing Bias
The Mirror Langevin Algorithm Converges with Vanishing Bias
Ruilin Li
Molei Tao
Santosh Vempala
Andre Wibisono
37
35
0
24 Sep 2021
Coupling and Convergence for Hamiltonian Monte Carlo
Coupling and Convergence for Hamiltonian Monte Carlo
Nawaf Bou-Rabee
A. Eberle
Raphael Zimmer
73
135
0
01 May 2018
Variable transformation to obtain geometric ergodicity in the
  random-walk Metropolis algorithm
Variable transformation to obtain geometric ergodicity in the random-walk Metropolis algorithm
Leif Johnson
C. Geyer
66
51
0
27 Feb 2013
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
132
3,263
0
09 Jun 2012
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