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The Poisson Gamma Belief Network
v1v2 (latest)

The Poisson Gamma Belief Network

6 November 2015
Mingyuan Zhou
Yulai Cong
Bo Chen
    BDL
ArXiv (abs)PDFHTML

Papers citing "The Poisson Gamma Belief Network"

18 / 18 papers shown
Title
Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer
Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer
Xinyue Hu
Zhibin Duan
Bo Chen
Mingyuan Zhou
UQCVBDL
150
0
0
28 May 2025
Knowledge-Aware Bayesian Deep Topic Model
Knowledge-Aware Bayesian Deep Topic Model
Dongsheng Wang
Yishi Xu
Miaoge Li
Zhibin Duan
Chaojie Wang
Bo Chen
Mingyuan Zhou
BDL
101
16
0
20 Sep 2022
Ordinal Graph Gamma Belief Network for Social Recommender Systems
Ordinal Graph Gamma Belief Network for Social Recommender Systems
Dongsheng Wang
Chaojie Wang
Bo Chen
Mingyuan Zhou
CMLBDL
46
0
0
12 Sep 2022
TopicNet: Semantic Graph-Guided Topic Discovery
TopicNet: Semantic Graph-Guided Topic Discovery
Zhibin Duan
Yishi Xu
Bo Chen
Dongsheng Wang
Chaojie Wang
Mingyuan Zhou
BDL
84
15
0
27 Oct 2021
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network
Zhibin Duan
Dongsheng Wang
Bo Chen
Chaojie Wang
Wenchao Chen
Yewen Li
Jie Ren
Mingyuan Zhou
BDL
93
42
0
30 Jun 2021
GO Hessian for Expectation-Based Objectives
GO Hessian for Expectation-Based Objectives
Yulai Cong
Miaoyun Zhao
Jianqiao Li
Junya Chen
Lawrence Carin
46
0
0
16 Jun 2020
Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference
Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference
Hao Zhang
Bo Chen
Yulai Cong
D. Guo
Hongwei Liu
Mingyuan Zhou
BDL
67
28
0
15 Jun 2020
Poisson-Randomized Gamma Dynamical Systems
Poisson-Randomized Gamma Dynamical Systems
Aaron Schein
Scott W. Linderman
Mingyuan Zhou
David M. Blei
Hanna M. Wallach
62
19
0
28 Oct 2019
Random Function Priors for Correlation Modeling
Random Function Priors for Correlation Modeling
Aonan Zhang
John Paisley
36
2
0
09 May 2019
GO Gradient for Expectation-Based Objectives
GO Gradient for Expectation-Based Objectives
Yulai Cong
Miaoyun Zhao
Ke Bai
Lawrence Carin
150
16
0
17 Jan 2019
Dirichlet belief networks for topic structure learning
Dirichlet belief networks for topic structure learning
He Zhao
Lan Du
Wray Buntine
Mingyuan Zhou
OODBDL
67
44
0
02 Nov 2018
Parsimonious Bayesian deep networks
Parsimonious Bayesian deep networks
Mingyuan Zhou
BDL
43
8
0
22 May 2018
Locally Private Bayesian Inference for Count Models
Locally Private Bayesian Inference for Count Models
Aaron Schein
Zhiwei Steven Wu
Alexandra Schofield
Mingyuan Zhou
Hanna M. Wallach
156
37
0
22 Mar 2018
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling
Hao Zhang
Bo Chen
D. Guo
Mingyuan Zhou
BDL
80
118
0
04 Mar 2018
Topic Compositional Neural Language Model
Topic Compositional Neural Language Model
Wenlin Wang
Zhe Gan
Wenqi Wang
Dinghan Shen
Jiaji Huang
Ming-Yu Liu
S. Satheesh
Lawrence Carin
52
81
0
28 Dec 2017
Softplus Regressions and Convex Polytopes
Softplus Regressions and Convex Polytopes
Mingyuan Zhou
78
16
0
23 Aug 2016
Nonparametric Bayesian Negative Binomial Factor Analysis
Nonparametric Bayesian Negative Binomial Factor Analysis
Mingyuan Zhou
48
38
0
25 Apr 2016
Gamma Belief Networks
Gamma Belief Networks
Mingyuan Zhou
Yulai Cong
Bo Chen
BDL
110
87
0
09 Dec 2015
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