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MALA-within-Gibbs samplers for high-dimensional distributions with
  sparse conditional structure
v1v2 (latest)

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure

SIAM Journal on Scientific Computing (SISC), 2019
26 August 2019
X. Tong
M. Morzfeld
Y. M. Marzouk
ArXiv (abs)PDFHTML

Papers citing "MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure"

11 / 11 papers shown
Localized Diffusion Models
Localized Diffusion Models
Georg Gottwald
Shuigen Liu
Youssef Marzouk
Sebastian Reich
X. Tong
DiffM
514
4
0
07 May 2025
Entropy contraction of the Gibbs sampler under log-concavity
Entropy contraction of the Gibbs sampler under log-concavity
Filippo Ascolani
Hugo Lavenant
Giacomo Zanella
464
14
0
01 Oct 2024
Scalability of Metropolis-within-Gibbs schemes for high-dimensional Bayesian models
Scalability of Metropolis-within-Gibbs schemes for high-dimensional Bayesian models
Filippo Ascolani
Gareth O. Roberts
T. Rigon
354
12
0
14 Mar 2024
Localization in Ensemble Kalman inversion
Localization in Ensemble Kalman inversionInverse Problems (IP), 2022
Xin T. Tong
Matthias Morzfeld
314
27
0
26 Jan 2022
Sparse approximation of triangular transports. Part II: the infinite
  dimensional case
Sparse approximation of triangular transports. Part II: the infinite dimensional caseConstructive approximation (Constr. Approx.), 2020
Jakob Zech
Youssef Marzouk
249
22
0
28 Jul 2021
A unified performance analysis of likelihood-informed subspace methods
A unified performance analysis of likelihood-informed subspace methods
Tiangang Cui
X. Tong
365
29
0
07 Jan 2021
Random Coordinate Langevin Monte Carlo
Random Coordinate Langevin Monte CarloAnnual Conference Computational Learning Theory (COLT), 2020
Zhiyan Ding
Qin Li
Jianfeng Lu
Stephen J. Wright
BDL
202
13
0
03 Oct 2020
Bayesian Update with Importance Sampling: Required Sample Size
Bayesian Update with Importance Sampling: Required Sample Size
D. Sanz-Alonso
Zijian Wang
288
7
0
22 Sep 2020
Langevin Monte Carlo: random coordinate descent and variance reduction
Langevin Monte Carlo: random coordinate descent and variance reductionJournal of machine learning research (JMLR), 2020
Zhiyan Ding
Qin Li
BDL
743
13
0
26 Jul 2020
Spectral Gap of Replica Exchange Langevin Diffusion on Mixture
  Distributions
Spectral Gap of Replica Exchange Langevin Diffusion on Mixture Distributions
Jing-rong Dong
Xin T. Tong
269
15
0
29 Jun 2020
Replica Exchange for Non-Convex Optimization
Replica Exchange for Non-Convex OptimizationJournal of machine learning research (JMLR), 2020
Jing-rong Dong
Xin T. Tong
439
22
0
23 Jan 2020
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