count data

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 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 NeurIPS 2022 Two-way Sparse Network Inference for Count Data AISTATS 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 Poisson-Randomized Gamma Dynamical Systems NeurIPS 2019 Recommendation from Raw Data with Adaptive Compound Poisson Factorization UAI 2019 Variational Inference for sparse network reconstruction from count data ICML 2019 Deep Dynamic Poisson Factorization Model NeurIPS 2017 Poisson-Gamma dynamical systems NeurIPS 2016 High-dimensional neural spike train analysis with generalized count linear dynamical systems NeurIPS 2015 Latent feature regression for multivariate count data AISTATS 2015 On Poisson Graphical Models NeurIPS 2013 Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models NeurIPS 2006