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Enabling scalable stochastic gradient-based inference for Gaussian
  processes by employing the Unbiased LInear System SolvEr (ULISSE)
v1v2v3v4 (latest)

Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE)

22 January 2015
Maurizio Filippone
Raphael Engler
ArXiv (abs)PDFHTML

Papers citing "Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE)"

13 / 13 papers shown
Title
(Non-) asymptotic properties of Stochastic Gradient Langevin Dynamics
(Non-) asymptotic properties of Stochastic Gradient Langevin Dynamics
Sebastian J. Vollmer
K. Zygalakis
and Yee Whye Teh
85
49
0
02 Jan 2015
Consistency and fluctuations for stochastic gradient Langevin dynamics
Consistency and fluctuations for stochastic gradient Langevin dynamics
Yee Whye Teh
Alexandre Hoang Thiery
Sebastian J. Vollmer
78
235
0
01 Sep 2014
Accelerating Metropolis-Hastings algorithms: Delayed acceptance with
  prefetching
Accelerating Metropolis-Hastings algorithms: Delayed acceptance with prefetching
Marco Banterle
Clara Grazian
Christian P. Robert
57
13
0
10 Jun 2014
Firefly Monte Carlo: Exact MCMC with Subsets of Data
Firefly Monte Carlo: Exact MCMC with Subsets of Data
D. Maclaurin
Ryan P. Adams
148
179
0
22 Mar 2014
Probabilistic Interpretation of Linear Solvers
Probabilistic Interpretation of Linear Solvers
Philipp Hennig
73
104
0
10 Feb 2014
Scalable iterative methods for sampling from massive Gaussian random
  vectors
Scalable iterative methods for sampling from massive Gaussian random vectors
Daniel P. Simpson
I. Turner
C. Strickland
A. Pettitt
74
10
0
05 Dec 2013
Bayesian Inference for Gaussian Process Classifiers with Annealing and
  Pseudo-Marginal MCMC
Bayesian Inference for Gaussian Process Classifiers with Annealing and Pseudo-Marginal MCMC
Maurizio Filippone
37
6
0
28 Nov 2013
Pseudo-Marginal Bayesian Inference for Gaussian Processes
Pseudo-Marginal Bayesian Inference for Gaussian Processes
Maurizio Filippone
Mark Girolami
63
64
0
02 Oct 2013
Gaussian Processes for Big Data
Gaussian Processes for Big Data
J. Hensman
Nicolò Fusi
Neil D. Lawrence
GP
107
1,235
0
26 Sep 2013
On Russian Roulette Estimates for Bayesian Inference with
  Doubly-Intractable Likelihoods
On Russian Roulette Estimates for Bayesian Inference with Doubly-Intractable Likelihoods
A. Lyne
Mark Girolami
Yves F. Atchadé
Heiko Strathmann
Daniel P. Simpson
133
135
0
17 Jun 2013
Scaling Multidimensional Inference for Structured Gaussian Processes
Scaling Multidimensional Inference for Structured Gaussian Processes
Elad Gilboa
Yunus Saatci
John P. Cunningham
118
61
0
18 Sep 2012
INLA or MCMC? A Tutorial and Comparative Evaluation for Spatial
  Prediction in log-Gaussian Cox Processes
INLA or MCMC? A Tutorial and Comparative Evaluation for Spatial Prediction in log-Gaussian Cox Processes
Benjamin M. Taylor
P. Diggle
75
102
0
08 Feb 2012
Slice sampling covariance hyperparameters of latent Gaussian models
Slice sampling covariance hyperparameters of latent Gaussian models
Iain Murray
Ryan P. Adams
110
232
0
04 Jun 2010
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