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Dense Distributions from Sparse Samples: Improved Gibbs Sampling
  Parameter Estimators for LDA
v1v2v3v4v5v6 (latest)

Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA

8 May 2015
Yannis Papanikolaou
James R. Foulds
T. Rubin
Grigorios Tsoumakas
ArXiv (abs)PDFHTML

Papers citing "Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA"

7 / 7 papers shown
Title
WarpLDA: a Cache Efficient O(1) Algorithm for Latent Dirichlet
  Allocation
WarpLDA: a Cache Efficient O(1) Algorithm for Latent Dirichlet Allocation
Jianfei Chen
Kaiwei Li
Jun Zhu
Wenguang Chen
66
69
0
29 Oct 2015
Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo
Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo
Yu Wang
S. Fienberg
Alex Smola
65
249
0
26 Feb 2015
LightLDA: Big Topic Models on Modest Compute Clusters
LightLDA: Big Topic Models on Modest Compute Clusters
Jinhui Yuan
Fei Gao
Qirong Ho
Wei-Ming Dai
Jinliang Wei
Xun Zheng
Eric Xing
Tie-Yan Liu
Wei-Ying Ma
MoEAI4CE
132
177
0
04 Dec 2014
Stochastic Collapsed Variational Bayesian Inference for Latent Dirichlet
  Allocation
Stochastic Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation
James R. Foulds
Levi Boyles
Christopher DuBois
Padhraic Smyth
Max Welling
BDL
62
143
0
10 May 2013
On Smoothing and Inference for Topic Models
On Smoothing and Inference for Topic Models
A. Asuncion
Max Welling
Padhraic Smyth
Yee Whye Teh
BDL
80
600
0
09 May 2012
Statistical Topic Models for Multi-Label Document Classification
Statistical Topic Models for Multi-Label Document Classification
T. Rubin
America Chambers
Padhraic Smyth
M. Steyvers
75
334
0
13 Jul 2011
Supervised Topic Models
Supervised Topic Models
David M. Blei
Jon D. McAuliffe
BDL
121
1,788
0
03 Mar 2010
1