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Negative Binomial Process Count and Mixture Modeling

15 September 2012

Mingyuan Zhou

Lawrence Carin

Papers citing "Negative Binomial Process Count and Mixture Modeling"

50 / 69 papers shown

Title
Doubly Non-Central Beta Matrix Factorization for Stable Dimensionality Reduction of Bounded Support Matrix Data Anjali N. Albert Patrick Flaherty Aaron Schein 50 0 0 24 Oct 2024
Scalable Weibull Graph Attention Autoencoder for Modeling Document Networks Changbo Wang Xinyang Liu Dongsheng Wang Hao Zhang Bo Chen Mingyuan Zhou BDL 67 0 0 13 Oct 2024
On the Connection Between Non-negative Matrix Factorization and Latent Dirichlet Allocation Benedikt Geiger Peter J. Park 46 1 0 30 May 2024
Scaling up Dynamic Edge Partition Models via Stochastic Gradient MCMC Sikun Yang Heinz Koeppl 46 0 0 29 Feb 2024
A Poisson-Gamma Dynamic Factor Model with Time-Varying Transition Dynamics Jiahao Wang Sikun Yang Heinz Koeppl Xiuzhen Cheng Pengfei Hu Guoming Zhang 45 0 0 26 Feb 2024
A Framework of Zero-Inflated Bayesian Negative Binomial Regression Models For Spatiotemporal Data Qing He Hsin-Hsiung Huang 78 4 0 06 Feb 2024
Bayesian Vector AutoRegression with Factorised Granger-Causal Graphs He Zhao V. Kitsios Terry O'Kane Edwin V. Bonilla CML 105 1 0 06 Feb 2024
Multinomial belief networks for healthcare data H. C. Donker D. Neijzen J. D. Jong G. Lunter 43 0 0 28 Nov 2023
Random Discrete Probability Measures Based on Negative Binomial Process Sadegh Chegini M. Zarepour 29 2 0 30 Jun 2023
Bayesian Analysis of Generalized Hierarchical Indian Buffet Processes for Within and Across Group Sharing of Latent Features Lancelot F. James Juho Lee Abhinav Pandey 70 0 0 11 Apr 2023
Sparse Infinite Random Feature Latent Variable Modeling M. Zhang 62 1 0 20 May 2022
On Data Augmentation for Models Involving Reciprocal Gamma Functions Y. Hamura Kaoru Irie S. Sugasawa 23 3 0 03 Mar 2022
Two-Step Mixed-Type Multivariate Bayesian Sparse Variable Selection with Shrinkage Priors Shao‐Hsuan Wang Ray Bai Hsin-Hsiung Huang 70 5 0 30 Jan 2022
Recurrent Coupled Topic Modeling over Sequential Documents Jinjin Guo LongBing Cao Zhiguo Gong 21 2 0 23 Jun 2021
SimCD: Simultaneous Clustering and Differential expression analysis for single-cell transcriptomic data Seyednami Niyakan Ehsan Hajiramezanali Shahin Boluki Siamak Zamani Dadaneh Xiaoning Qian 29 6 0 04 Apr 2021
Posterior distributions for Hierarchical Spike and Slab Indian Buffet processes Lancelot F. James Juho Lee Abhinav Pandey 52 2 0 21 Mar 2021
Convex Polytope Trees Mohammadreza Armandpour Mingyuan Zhou 52 1 0 21 Oct 2020
Graph Gamma Process Generalized Linear Dynamical Systems Rahi Kalantari Mingyuan Zhou 29 2 0 25 Jul 2020
GO Hessian for Expectation-Based Objectives Yulai Cong Miaoyun Zhao Jianqiao Li Junya Chen Lawrence Carin 39 0 0 16 Jun 2020
Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference Hao Zhang Bo Chen Yulai Cong D. Guo Hongwei Liu Mingyuan Zhou BDL 64 28 0 15 Jun 2020
Correlated Mixed Membership Modeling of Somatic Mutations Rahul Mehta M. Karaman 39 0 0 21 May 2020
Additive stacking for disaggregate electricity demand forecasting Christian Capezza B. Palumbo Y. Goude S. Wood Matteo Fasiolo AI4TS 82 7 0 20 May 2020
Frequency, Acceptability, and Selection: A case study of clause-embedding Aaron Steven White Kyle Rawlins 25 13 0 08 Apr 2020
Recurrent Hierarchical Topic-Guided RNN for Language Generation D. Guo Bo Chen Ruiying Lu Mingyuan Zhou BDL LRM 80 8 0 21 Dec 2019
Sequential Edge Clustering in Temporal Multigraphs Elahe Ghalebi H. Mahyar Radu Grosu Graham W. Taylor Sinead Williamson 140 0 0 28 May 2019
Recommendation from Raw Data with Adaptive Compound Poisson Factorization Olivier Gouvert Thomas Oberlin Cédric Févotte 41 12 0 20 May 2019
Variational Hetero-Encoder Randomized GANs for Joint Image-Text Modeling Hao Zhang Bo Chen Long Tian Zhengjue Wang Mingyuan Zhou DRL 67 7 0 18 May 2019
Convolutional Poisson Gamma Belief Network Chaojie Wang Bo Chen Sucheng Xiao Mingyuan Zhou 87 15 0 14 May 2019
ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables Mingzhang Yin Yuguang Yue Mingyuan Zhou 66 23 0 04 May 2019
Dirichlet belief networks for topic structure learning He Zhao Lan Du Wray Buntine Mingyuan Zhou OOD BDL 67 44 0 02 Nov 2018
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 Ehsan Hajiramezanali Siamak Zamani Dadaneh Alireza Karbalayghareh Mingyuan Zhou Xiaoning Qian 69 52 0 22 Oct 2018
Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks Quan Zhang Mingyuan Zhou 40 17 0 19 Oct 2018
Collapsed Variational Inference for Nonparametric Bayesian Group Factor Analysis Sikun Yang Heinz Koeppl CML 16 1 0 10 Sep 2018
ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks Mingzhang Yin Mingyuan Zhou MQ 135 11 0 30 Jul 2018
Semi-Implicit Variational Inference Mingzhang Yin Mingyuan Zhou BDL 89 128 0 28 May 2018
Parsimonious Bayesian deep networks Mingyuan Zhou BDL 43 8 0 22 May 2018
Differential Expression Analysis of Dynamical Sequencing Count Data with a Gamma Markov Chain Ehsan Hajiramezanali Siamak Zamani Dadaneh P. Figueiredo S. Sze Mingyuan Zhou Xiaoning Qian 58 11 0 07 Mar 2018
Nonparametric Bayesian Sparse Graph Linear Dynamical Systems Rahi Kalantari Joydeep Ghosh Mingyuan Zhou 59 4 0 21 Feb 2018
Closed-form Marginal Likelihood in Gamma-Poisson Matrix Factorization Louis Filstroff Alberto Lumbreras Cédric Févotte 25 2 0 05 Jan 2018
Adaptive Bayesian Sampling with Monte Carlo EM A. Roychowdhury Srinivasan Parthasarathy 39 1 0 06 Nov 2017
MetaLDA: a Topic Model that Efficiently Incorporates Meta information He Zhao Lan Du Wray Buntine Gang Liu 90 46 0 19 Sep 2017
A network approach to topic models Martin Gerlach Tiago P. Peixoto E. Altmann BDL 73 217 0 04 Aug 2017
Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization Junyu Xuan Jie Lu Guangquan Zhang R. Xu 56 4 0 18 Jul 2017
Leveraging Node Attributes for Incomplete Relational Data He Zhao Lan Du Wray Buntine 64 45 0 14 Jun 2017
Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC Yulai Cong Bo Chen Hongwei Liu Mingyuan Zhou BDL 66 66 0 06 Jun 2017
Poisson--Gamma Dynamical Systems Aaron Schein Mingyuan Zhou Hanna M. Wallach 52 46 0 19 Jan 2017
Towards Bayesian Deep Learning: A Framework and Some Existing Methods Hao Wang Dit-Yan Yeung BDL 67 225 0 24 Aug 2016
Softplus Regressions and Convex Polytopes Mingyuan Zhou 72 16 0 23 Aug 2016
Frequency of Frequencies Distributions and Size Dependent Exchangeable Random Partitions Mingyuan Zhou Stefano Favaro S. Walker 67 16 0 31 Jul 2016