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

Grigorios Tsoumakas

ArXiv (abs)PDF HTML

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 Jianfei Chen Kaiwei Li Jun Zhu Wenguang Chen 66 69 0 29 Oct 2015
Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo Yu Wang S. Fienberg Alex Smola 62 249 0 26 Feb 2015
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 MoE AI4CE 132 177 0 04 Dec 2014
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 A. Asuncion Max Welling Padhraic Smyth Yee Whye Teh BDL 80 600 0 09 May 2012
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 David M. Blei Jon D. McAuliffe BDL 121 1,788 0 03 Mar 2010

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.