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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

18 November 2011
Matthew D. Hoffman
Andrew Gelman
ArXivPDFHTML

Papers citing "The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo"

43 / 893 papers shown
Title
Practical Bayesian model evaluation using leave-one-out cross-validation
  and WAIC
Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC
Aki Vehtari
Andrew Gelman
Jonah Gabry
18
3,980
0
16 Jul 2015
Leave Pima Indians alone: binary regression as a benchmark for Bayesian
  computation
Leave Pima Indians alone: binary regression as a benchmark for Bayesian computation
Nicolas Chopin
James Ridgway
29
75
0
29 Jun 2015
Gaussian Process Regression with Location Errors
Gaussian Process Regression with Location Errors
D. Cervone
Natesh S. Pillai
28
17
0
27 Jun 2015
Sampling constrained probability distributions using Spherical
  Augmentation
Sampling constrained probability distributions using Spherical Augmentation
Shiwei Lan
B. Shahbaba
TPM
27
14
0
19 Jun 2015
Stochastic Expectation Propagation
Stochastic Expectation Propagation
Yingzhen Li
Jose Miguel Hernandez-Lobato
Richard E. Turner
21
114
0
12 Jun 2015
Automatic Variational Inference in Stan
Automatic Variational Inference in Stan
A. Kucukelbir
Rajesh Ranganath
Andrew Gelman
David M. Blei
BDL
21
232
0
10 Jun 2015
Efficient adaptive MCMC through precision estimation
Efficient adaptive MCMC through precision estimation
J. Wallin
David Bolin
30
3
0
14 May 2015
Modeling Recovery Curves With Application to Prostatectomy
Modeling Recovery Curves With Application to Prostatectomy
Fulton Wang
Tyler H. McCormick
Cynthia Rudin
J. Gore
CML
29
6
0
27 Apr 2015
Random projections for Bayesian regression
Random projections for Bayesian regression
Leo N. Geppert
K. Ickstadt
Alexander Munteanu
Jens Quedenfeld
C. Sohler
25
45
0
23 Apr 2015
Precomputing Strategy for Hamiltonian Monte Carlo Method Based on
  Regularity in Parameter Space
Precomputing Strategy for Hamiltonian Monte Carlo Method Based on Regularity in Parameter Space
Cheng Zhang
B. Shahbaba
Hongkai Zhao
24
15
0
06 Apr 2015
Automatic differentiation in machine learning: a survey
Automatic differentiation in machine learning: a survey
A. G. Baydin
Barak A. Pearlmutter
Alexey Radul
J. Siskind
PINN
AI4CE
ODL
21
2,745
0
20 Feb 2015
Stochastic Newton Sampler: R Package sns
Stochastic Newton Sampler: R Package sns
Alireza S. Mahani
Asad Hasan
Marshall Jiang
M. Sharabiani
28
1
0
06 Feb 2015
Adaptive step size selection for Hessian-based manifold Langevin
  samplers
Adaptive step size selection for Hessian-based manifold Langevin samplers
T. S. Kleppe
27
14
0
29 Jan 2015
Multivariate-from-Univariate MCMC Sampler: R Package MfUSampler
Multivariate-from-Univariate MCMC Sampler: R Package MfUSampler
Alireza S. Mahani
M. Sharabiani
30
6
0
25 Dec 2014
Transport map accelerated Markov chain Monte Carlo
Transport map accelerated Markov chain Monte Carlo
M. Parno
Youssef Marzouk
OT
42
159
0
17 Dec 2014
Joint Segmentation and Deconvolution of Ultrasound Images Using a
  Hierarchical Bayesian Model based on Generalized Gaussian Priors
Joint Segmentation and Deconvolution of Ultrasound Images Using a Hierarchical Bayesian Model based on Generalized Gaussian Priors
Ningning Zhao
Adrian Basarab
Denis Kouamé
J. Tourneret
50
46
0
08 Dec 2014
Optimizing The Integrator Step Size for Hamiltonian Monte Carlo
Optimizing The Integrator Step Size for Hamiltonian Monte Carlo
M. Betancourt
Simon Byrne
Mark Girolami
53
76
0
24 Nov 2014
Bayesian Inference for Generalized Extreme Value Distributions via
  Hamiltonian Monte Carlo
Bayesian Inference for Generalized Extreme Value Distributions via Hamiltonian Monte Carlo
M. Hartmann
R. Ehlers
30
9
0
16 Oct 2014
Hamiltonian Monte Carlo Without Detailed Balance
Hamiltonian Monte Carlo Without Detailed Balance
Jascha Narain Sohl-Dickstein
M. Mudigonda
M. DeWeese
27
66
0
18 Sep 2014
Divide-and-Conquer with Sequential Monte Carlo
Divide-and-Conquer with Sequential Monte Carlo
Fredrik Lindsten
A. M. Johansen
C. A. Naesseth
Bonnie Kirkpatrick
Thomas B. Schon
J. Aston
Alexandre Bouchard-Coté
24
45
0
19 Jun 2014
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian
  Hierarchical Models
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models
Yichuan Zhang
Charles Sutton
43
20
0
15 Jun 2014
Effective Bayesian Modeling of Groups of Related Count Time Series
Effective Bayesian Modeling of Groups of Related Count Time Series
Nicolas Chapados
AI4TS
26
31
0
15 May 2014
A reversible infinite HMM using normalised random measures
A reversible infinite HMM using normalised random measures
Konstantina Palla
David A. Knowles
Zoubin Ghahramani
33
15
0
17 Mar 2014
Stochastic Gradient Hamiltonian Monte Carlo
Stochastic Gradient Hamiltonian Monte Carlo
Tianqi Chen
E. Fox
Carlos Guestrin
BDL
31
894
0
17 Feb 2014
Fast Hamiltonian Monte Carlo Using GPU Computing
Fast Hamiltonian Monte Carlo Using GPU Computing
Andrew L. Beam
S. Ghosh
Jon Doyle
44
24
0
17 Feb 2014
Efficient Gradient-Based Inference through Transformations between Bayes
  Nets and Neural Nets
Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets
Diederik P. Kingma
Max Welling
BDL
30
61
0
03 Feb 2014
Scalable Rejection Sampling for Bayesian Hierarchical Models
Scalable Rejection Sampling for Bayesian Hierarchical Models
Michael Braun
P. Damien
47
12
0
31 Jan 2014
Tempering by Subsampling
Tempering by Subsampling
Jan Willem van de Meent
Brooks Paige
Frank D. Wood
TPM
59
9
0
28 Jan 2014
Asymptotically Exact, Embarrassingly Parallel MCMC
Asymptotically Exact, Embarrassingly Parallel MCMC
W. Neiswanger
Chong-Jun Wang
Eric P. Xing
FedML
34
328
0
19 Nov 2013
Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary
  Distributions
Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions
Ari Pakman
Liam Paninski
51
80
0
09 Nov 2013
Spherical Hamiltonian Monte Carlo for Constrained Target Distributions
Spherical Hamiltonian Monte Carlo for Constrained Target Distributions
Shiwei Lan
Bo Zhou
B. Shahbaba
52
57
0
17 Sep 2013
Bayesian Nonparametric Weighted Sampling Inference
Bayesian Nonparametric Weighted Sampling Inference
Yajuan Si
Natesh S. Pillai
Andrew Gelman
35
73
0
07 Sep 2013
Bayesian State-Space Modelling on High-Performance Hardware Using LibBi
Bayesian State-Space Modelling on High-Performance Hardware Using LibBi
Lawrence M. Murray
41
112
0
14 Jun 2013
Declarative Modeling and Bayesian Inference of Dark Matter Halos
Declarative Modeling and Bayesian Inference of Dark Matter Halos
G. Kronberger
56
0
0
02 Jun 2013
Adaptive Hamiltonian and Riemann Manifold Monte Carlo Samplers
Adaptive Hamiltonian and Riemann Manifold Monte Carlo Samplers
Ziyun Wang
S. Mohamed
Nando de Freitas
50
56
0
25 Feb 2013
Lagrangian Dynamical Monte Carlo
Lagrangian Dynamical Monte Carlo
Shiwei Lan
V. Stathopoulos
B. Shahbaba
Mark Girolami
62
45
0
15 Nov 2012
Laplace approximation for logistic Gaussian process density estimation
  and regression
Laplace approximation for logistic Gaussian process density estimation and regression
J. Riihimaki
Aki Vehtari
24
48
0
01 Nov 2012
Parallel MCMC with Generalized Elliptical Slice Sampling
Parallel MCMC with Generalized Elliptical Slice Sampling
Robert Nishihara
Iain Murray
Ryan P. Adams
53
79
0
28 Oct 2012
Exact Hamiltonian Monte Carlo for Truncated Multivariate Gaussians
Exact Hamiltonian Monte Carlo for Truncated Multivariate Gaussians
Ari Pakman
Liam Paninski
47
221
0
20 Aug 2012
Bayesian Modeling with Gaussian Processes using the GPstuff Toolbox
Bayesian Modeling with Gaussian Processes using the GPstuff Toolbox
J. Vanhatalo
J. Riihimaki
Jouni Hartikainen
Pasi Jylänki
Ville Tolvanen
Aki Vehtari
GP
27
46
0
25 Jun 2012
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
173
3,260
0
09 Jun 2012
A Level-Set Hit-and-Run Sampler for Quasi-Concave Distributions
A Level-Set Hit-and-Run Sampler for Quasi-Concave Distributions
S. Jensen
Dean Phillips Foster
76
3
0
18 Feb 2012
Split Hamiltonian Monte Carlo
Split Hamiltonian Monte Carlo
B. Shahbaba
Shiwei Lan
W. Johnson
Radford M. Neal
57
91
0
29 Jun 2011
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