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17 papers

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Co-occurring keywords

variational inference (2069) graphical model (864) dynamical system (398) time series (435) probabilistic modeling (852) multivariate count datum (4) undirected graphical model (18) discrete datum (21) poisson factorization (13) high-dimensional datum (158)

Papers

Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis AAAI 2024
Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling ICML 2023
Two-way Sparse Network Inference for Count Data AISTATS 2022
Dimension reduction for high-dimensional small counts with KL divergence UAI 2022
Estimating graphical models for count data with applications to single-cell gene network NIPS 2022
Structure Learning of Undirected Graphical Models for Count Data JMLR 2021
Switching Poisson Gamma Dynamical Systems IJCAI 2020
Locally Private Bayesian Inference for Count Models ICML 2019
Variational Inference for sparse network reconstruction from count data ICML 2019
Poisson-Randomized Gamma Dynamical Systems NIPS 2019
Recommendation from Raw Data with Adaptive Compound Poisson Factorization UAI 2019
Deep Dynamic Poisson Factorization Model NIPS 2017
Poisson-Gamma dynamical systems NIPS 2016
Latent feature regression for multivariate count data AISTATS 2015
High-dimensional neural spike train analysis with generalized count linear dynamical systems NIPS 2015
On Poisson Graphical Models NIPS 2013
Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models NIPS 2006