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Nonparametric Bayesian Negative Binomial Factor Analysis
v1v2 (latest)

Nonparametric Bayesian Negative Binomial Factor Analysis

25 April 2016
Mingyuan Zhou
ArXiv (abs)PDFHTML

Papers citing "Nonparametric Bayesian Negative Binomial Factor Analysis"

15 / 15 papers shown
Title
Infinitely Divisible Noise for Differential Privacy: Nearly Optimal Error in the High $\varepsilon$ Regime
Infinitely Divisible Noise for Differential Privacy: Nearly Optimal Error in the High ε\varepsilonε Regime
Charlie Harrison
Pasin Manurangsi
82
0
0
07 Apr 2025
Scaling up Dynamic Edge Partition Models via Stochastic Gradient MCMC
Scaling up Dynamic Edge Partition Models via Stochastic Gradient MCMC
Sikun Yang
Heinz Koeppl
46
0
0
29 Feb 2024
Negative-Binomial Randomized Gamma Markov Processes for Heterogeneous
  Overdispersed Count Time Series
Negative-Binomial Randomized Gamma Markov Processes for Heterogeneous Overdispersed Count Time Series
Rui Huang
Sikun Yang
Heinz Koeppl
75
0
0
29 Feb 2024
A Poisson-Gamma Dynamic Factor Model with Time-Varying Transition
  Dynamics
A Poisson-Gamma Dynamic Factor Model with Time-Varying Transition Dynamics
Jiahao Wang
Sikun Yang
Heinz Koeppl
Xiuzhen Cheng
Pengfei Hu
Guoming Zhang
52
0
0
26 Feb 2024
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
A Comparative Study of Gamma Markov Chains for Temporal Non-Negative
  Matrix Factorization
A Comparative Study of Gamma Markov Chains for Temporal Non-Negative Matrix Factorization
Louis Filstroff
Olivier Gouvert
Cédric Févotte
Olivier Cappé
16
0
0
23 Jun 2020
Ordinal Non-negative Matrix Factorization for Recommendation
Ordinal Non-negative Matrix Factorization for Recommendation
Olivier Gouvert
Thomas Oberlin
Cédric Févotte
72
17
0
01 Jun 2020
Frequency, Acceptability, and Selection: A case study of
  clause-embedding
Frequency, Acceptability, and Selection: A case study of clause-embedding
Aaron Steven White
Kyle Rawlins
25
13
0
08 Apr 2020
Review of Probability Distributions for Modeling Count Data
Review of Probability Distributions for Modeling Count Data
F. W. Townes
13
10
0
10 Jan 2020
Recommendation from Raw Data with Adaptive Compound Poisson
  Factorization
Recommendation from Raw Data with Adaptive Compound Poisson Factorization
Olivier Gouvert
Thomas Oberlin
Cédric Févotte
44
12
0
20 May 2019
Variational Autoencoders for Sparse and Overdispersed Discrete Data
Variational Autoencoders for Sparse and Overdispersed Discrete Data
He Zhao
Piyush Rai
Lan Du
Wray Buntine
Mingyuan Zhou
DRL
60
1
0
02 May 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
Deep Poisson gamma dynamical systems
Deep Poisson gamma dynamical systems
D. Guo
Bo Chen
Hao Zhang
Mingyuan Zhou
62
29
0
26 Oct 2018
Bayesian multi-domain learning for cancer subtype discovery from
  next-generation sequencing count data
Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data
Ehsan Hajiramezanali
Siamak Zamani Dadaneh
Alireza Karbalayghareh
Mingyuan Zhou
Xiaoning Qian
69
52
0
22 Oct 2018
Poisson--Gamma Dynamical Systems
Poisson--Gamma Dynamical Systems
Aaron Schein
Mingyuan Zhou
Hanna M. Wallach
52
46
0
19 Jan 2017
1