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Variational Hamiltonian Monte Carlo via Score Matching

Variational Hamiltonian Monte Carlo via Score Matching

6 February 2016
Cheng Zhang
Babak Shahbaba
Hongkai Zhao
    BDL
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Papers citing "Variational Hamiltonian Monte Carlo via Score Matching"

15 / 15 papers shown
Title
Proper scoring rules for estimation and forecast evaluation
Proper scoring rules for estimation and forecast evaluation
Kartik Waghmare
Johanna Ziegel
AI4TS
169
1
0
02 Apr 2025
Batch, match, and patch: low-rank approximations for score-based variational inference
Batch, match, and patch: low-rank approximations for score-based variational inference
Chirag Modi
Diana Cai
Lawrence K. Saul
BDL
73
1
0
29 Oct 2024
Emulation of Higher-Order Tensors in Manifold Monte Carlo Methods for
  Bayesian Inverse Problems
Emulation of Higher-Order Tensors in Manifold Monte Carlo Methods for Bayesian Inverse Problems
Shiwei Lan
T. Bui-Thanh
M. Christie
Mark Girolami
58
58
0
22 Jul 2015
Hamiltonian Monte Carlo Acceleration Using Surrogate Functions with
  Random Bases
Hamiltonian Monte Carlo Acceleration Using Surrogate Functions with Random Bases
Cheng Zhang
Babak Shahbaba
Hongkai Zhao
55
32
0
18 Jun 2015
A Complete Recipe for Stochastic Gradient MCMC
A Complete Recipe for Stochastic Gradient MCMC
Yian Ma
Tianqi Chen
E. Fox
BDL
SyDa
60
486
0
15 Jun 2015
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential
  Families
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families
Heiko Strathmann
Dino Sejdinovic
Samuel Livingstone
Z. Szabó
Arthur Gretton
BDL
63
76
0
08 Jun 2015
Stochastic Gradient Hamiltonian Monte Carlo
Stochastic Gradient Hamiltonian Monte Carlo
Tianqi Chen
E. Fox
Carlos Guestrin
BDL
104
908
0
17 Feb 2014
Black Box Variational Inference
Black Box Variational Inference
Rajesh Ranganath
S. Gerrish
David M. Blei
DRL
BDL
120
1,165
0
31 Dec 2013
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
426
16,944
0
20 Dec 2013
Variational MCMC
Variational MCMC
Nando de Freitas
Pedro A. d. F. R. Højen-Sørensen
Michael I. Jordan
Stuart J. Russell
BDL
86
105
0
10 Jan 2013
Fixed-Form Variational Posterior Approximation through Stochastic Linear
  Regression
Fixed-Form Variational Posterior Approximation through Stochastic Linear Regression
Tim Salimans
David A. Knowles
110
251
0
28 Jun 2012
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring
S. Ahn
Anoop Korattikara Balan
Max Welling
77
306
0
27 Jun 2012
Variational Bayesian Inference with Stochastic Search
Variational Bayesian Inference with Stochastic Search
John Paisley
David M. Blei
Michael I. Jordan
BDL
104
499
0
27 Jun 2012
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
290
3,276
0
09 Jun 2012
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian
  Monte Carlo
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
Matthew D. Hoffman
Andrew Gelman
162
4,295
0
18 Nov 2011
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