Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2405.16736
Cited By
A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers
27 May 2024
Ye He
Alireza Mousavi-Hosseini
Krishnakumar Balasubramanian
Murat A. Erdogdu
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers"
16 / 16 papers shown
Title
Weak Poincaré Inequalities for Markov chains: theory and applications
Christophe Andrieu
Anthony Lee
Samuel Power
Andi Q. Wang
22
4
0
18 Dec 2023
A Simple Proof of the Mixing of Metropolis-Adjusted Langevin Algorithm under Smoothness and Isoperimetry
Yuansi Chen
Khashayar Gatmiry
56
6
0
08 Apr 2023
Fisher information lower bounds for sampling
Sinho Chewi
P. Gerber
Holden Lee
Chen Lu
93
15
0
05 Oct 2022
Improved analysis for a proximal algorithm for sampling
Yongxin Chen
Sinho Chewi
Adil Salim
Andre Wibisono
100
58
0
13 Feb 2022
Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm
Sinho Chewi
Chen Lu
Kwangjun Ahn
Xiang Cheng
Thibaut Le Gouic
Philippe Rigollet
67
66
0
23 Dec 2020
Structured Logconcave Sampling with a Restricted Gaussian Oracle
Y. Lee
Ruoqi Shen
Kevin Tian
56
72
0
07 Oct 2020
On the Convergence of Langevin Monte Carlo: The Interplay between Tail Growth and Smoothness
Murat A. Erdogdu
Rasa Hosseinzadeh
62
76
0
27 May 2020
Learning Halfspaces with Massart Noise Under Structured Distributions
Ilias Diakonikolas
Vasilis Kontonis
Christos Tzamos
Nikos Zarifis
51
61
0
13 Feb 2020
Logsmooth Gradient Concentration and Tighter Runtimes for Metropolized Hamiltonian Monte Carlo
Y. Lee
Ruoqi Shen
Kevin Tian
52
37
0
10 Feb 2020
Estimating Normalizing Constants for Log-Concave Distributions: Algorithms and Lower Bounds
Rong Ge
Holden Lee
Jianfeng Lu
53
22
0
08 Nov 2019
Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond
Xuechen Li
Denny Wu
Lester W. Mackey
Murat A. Erdogdu
52
71
0
19 Jun 2019
Global Non-convex Optimization with Discretized Diffusions
Murat A. Erdogdu
Lester W. Mackey
Ohad Shamir
69
105
0
29 Oct 2018
Underdamped Langevin MCMC: A non-asymptotic analysis
Xiang Cheng
Niladri S. Chatterji
Peter L. Bartlett
Michael I. Jordan
89
301
0
12 Jul 2017
Exponential Ergodicity of the Bouncy Particle Sampler
George Deligiannidis
Alexandre Bouchard-Côté
Arnaud Doucet
70
49
0
12 May 2017
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis
Maxim Raginsky
Alexander Rakhlin
Matus Telgarsky
73
521
0
13 Feb 2017
Non-asymptotic convergence analysis for the Unadjusted Langevin Algorithm
Alain Durmus
Eric Moulines
69
414
0
17 Jul 2015
1