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Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic
  Gradient Riemannian MCMC

Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC

6 June 2017
Yulai Cong
Bo Chen
Hongwei Liu
Mingyuan Zhou
    BDL
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Papers citing "Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC"

7 / 7 papers shown
Title
Priors for Random Count Matrices Derived from a Family of Negative
  Binomial Processes
Priors for Random Count Matrices Derived from a Family of Negative Binomial Processes
Mingyuan Zhou
Oscar Hernan Madrid Padilla
James G. Scott
94
29
0
12 Apr 2014
Stochastic Gradient Hamiltonian Monte Carlo
Stochastic Gradient Hamiltonian Monte Carlo
Tianqi Chen
E. Fox
Carlos Guestrin
BDL
102
906
0
17 Feb 2014
Modeling Documents with Deep Boltzmann Machines
Modeling Documents with Deep Boltzmann Machines
Nitish Srivastava
Ruslan Salakhutdinov
Geoffrey E. Hinton
BDL
124
184
0
26 Sep 2013
ADADELTA: An Adaptive Learning Rate Method
ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler
ODL
123
6,619
0
22 Dec 2012
Nested Hierarchical Dirichlet Processes
Nested Hierarchical Dirichlet Processes
John Paisley
Chong-Jun Wang
David M. Blei
Michael I. Jordan
BDL
82
234
0
25 Oct 2012
Negative Binomial Process Count and Mixture Modeling
Negative Binomial Process Count and Mixture Modeling
Mingyuan Zhou
Lawrence Carin
66
205
0
15 Sep 2012
Beta-Negative Binomial Process and Poisson Factor Analysis
Beta-Negative Binomial Process and Poisson Factor Analysis
Mingyuan Zhou
Lauren Hannah
David B. Dunson
Lawrence Carin
89
249
0
15 Dec 2011
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