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Bayesian Conditional Density Filtering

Bayesian Conditional Density Filtering

15 January 2014
S. Qamar
Rajarshi Guhaniyogi
David B. Dunson
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Papers citing "Bayesian Conditional Density Filtering"

17 / 17 papers shown
Title
Sequential Markov Chain Monte Carlo
Sequential Markov Chain Monte Carlo
Yun Yang
David B. Dunson
52
28
0
18 Aug 2013
Streaming Variational Bayes
Streaming Variational Bayes
Tamara Broderick
N. Boyd
Andre Wibisono
Ashia Wilson
Michael I. Jordan
83
345
0
25 Jul 2013
Mean field variational Bayesian inference for support vector machine
  classification
Mean field variational Bayesian inference for support vector machine classification
J. Luts
J. Ormerod
BDL
47
20
0
13 May 2013
Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget
Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget
Anoop Korattikara
Yutian Chen
Max Welling
73
244
0
19 Apr 2013
Bayesian Compressed Regression
Bayesian Compressed Regression
Rajarshi Guhaniyogi
David B. Dunson
76
74
0
04 Mar 2013
Tractable Inference for Complex Stochastic Processes
Tractable Inference for Complex Stochastic Processes
Xavier Boyen
D. Koller
TPM
92
659
0
30 Jan 2013
Experiments with Random Projection
Experiments with Random Projection
S. Dasgupta
59
427
0
16 Jan 2013
Expectation Propagation for approximate Bayesian inference
Expectation Propagation for approximate Bayesian inference
T. Minka
129
1,907
0
10 Jan 2013
Stochastic Variational Inference
Stochastic Variational Inference
Matt Hoffman
David M. Blei
Chong-Jun Wang
John Paisley
BDL
252
2,621
0
29 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
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
290
3,281
0
09 Jun 2012
Virtual Vector Machine for Bayesian Online Classification
Virtual Vector Machine for Bayesian Online Classification
T. Minka
Rongjing Xiang
Yuan
Y. Qi
68
14
0
09 May 2012
Bayes and empirical Bayes: do they merge?
Bayes and empirical Bayes: do they merge?
Sonia Petrone
Judith Rousseau
Catia Scricciolo
FedML
79
77
0
06 Apr 2012
Online Variational Bayes Inference for High-Dimensional Correlated Data
Online Variational Bayes Inference for High-Dimensional Correlated Data
Sylvie (Tchumtchoua) Kabisa
David B. Dunson
Jeffrey S. Morris
117
16
0
04 Aug 2011
Hashing Algorithms for Large-Scale Learning
Hashing Algorithms for Large-Scale Learning
Ping Li
Anshumali Shrivastava
Joshua L. Moore
A. König
81
170
0
06 Jun 2011
Generalized double Pareto shrinkage
Generalized double Pareto shrinkage
Artin Armagan
David B. Dunson
Jaeyong Lee
78
374
0
05 Apr 2011
Slice sampling covariance hyperparameters of latent Gaussian models
Slice sampling covariance hyperparameters of latent Gaussian models
Iain Murray
Ryan P. Adams
101
232
0
04 Jun 2010
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