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Sampling normalizing constants in high dimensions using inhomogeneous
  diffusions
v1v2 (latest)

Sampling normalizing constants in high dimensions using inhomogeneous diffusions

22 December 2016
Christophe Andrieu
James Ridgway
N. Whiteley
ArXiv (abs)PDFHTML

Papers citing "Sampling normalizing constants in high dimensions using inhomogeneous diffusions"

6 / 6 papers shown
Title
Learning Optimal Flows for Non-Equilibrium Importance Sampling
Learning Optimal Flows for Non-Equilibrium Importance Sampling
Yu Cao
Eric Vanden-Eijnden
68
3
0
20 Jun 2022
An invitation to sequential Monte Carlo samplers
An invitation to sequential Monte Carlo samplers
Chenguang Dai
J. Heng
Pierre E. Jacob
N. Whiteley
136
68
0
23 Jul 2020
Estimating Normalizing Constants for Log-Concave Distributions:
  Algorithms and Lower Bounds
Estimating Normalizing Constants for Log-Concave Distributions: Algorithms and Lower Bounds
Rong Ge
Holden Lee
Jianfeng Lu
78
22
0
08 Nov 2019
Unbiased estimation of log normalizing constants with applications to
  Bayesian cross-validation
Unbiased estimation of log normalizing constants with applications to Bayesian cross-validation
M. Rischard
Pierre E. Jacob
Natesh Pillai
90
22
0
02 Oct 2018
On sampling from a log-concave density using kinetic Langevin diffusions
On sampling from a log-concave density using kinetic Langevin diffusions
A. Dalalyan
L. Riou-Durand
120
158
0
24 Jul 2018
User-friendly guarantees for the Langevin Monte Carlo with inaccurate
  gradient
User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient
A. Dalalyan
Avetik G. Karagulyan
144
298
0
29 Sep 2017
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