ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2201.08349
  4. Cited By
Heavy-tailed Sampling via Transformed Unadjusted Langevin Algorithm

Heavy-tailed Sampling via Transformed Unadjusted Langevin Algorithm

20 January 2022
Ye He
Krishnakumar Balasubramanian
Murat A. Erdogdu
ArXivPDFHTML

Papers citing "Heavy-tailed Sampling via Transformed Unadjusted Langevin Algorithm"

5 / 5 papers shown
Title
Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed
  Sampling
Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed Sampling
Ye He
Tyler Farghly
Krishnakumar Balasubramanian
Murat A. Erdogdu
47
4
0
01 Mar 2023
Fisher information lower bounds for sampling
Fisher information lower bounds for sampling
Sinho Chewi
P. Gerber
Holden Lee
Chen Lu
49
15
0
05 Oct 2022
Towards a Theory of Non-Log-Concave Sampling: First-Order Stationarity
  Guarantees for Langevin Monte Carlo
Towards a Theory of Non-Log-Concave Sampling: First-Order Stationarity Guarantees for Langevin Monte Carlo
Krishnakumar Balasubramanian
Sinho Chewi
Murat A. Erdogdu
Adil Salim
Matthew Shunshi Zhang
40
60
0
10 Feb 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
39
50
0
27 Sep 2021
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
71
52
0
27 Feb 2013
1