Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations

6 June 2016

Mingyuan Zhou

Papers citing "Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations"

35 / 35 papers shown

Title
Broad Spectrum Structure Discovery in Large-Scale Higher-Order Networks John Hood Caterina De Bacco Aaron Schein GNN 61 0 0 27 May 2025
Guaranteed Multidimensional Time Series Prediction via Deterministic Tensor Completion Theory Hao Shu Jicheng Li Yu Jin Hailin Wang AI4TS 136 0 0 28 Jan 2025
Scalable Bayesian Tensor Ring Factorization for Multiway Data Analysis Zerui Tao Toshihisa Tanaka Qibin Zhao 116 3 0 04 Dec 2024
Doubly Non-Central Beta Matrix Factorization for Stable Dimensionality Reduction of Bounded Support Matrix Data Anjali N. Albert Patrick Flaherty Aaron Schein 52 0 0 24 Oct 2024
$The AL$\ell_0$CORE Tensor Decomposition for Sparse Count Data$ The AL $\ell_0$ CORE Tensor Decomposition for Sparse Count Data John Hood Aaron Schein 21 0 0 10 Mar 2024
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 Rui Huang Sikun Yang Heinz Koeppl 75 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 52 0 0 26 Feb 2024
Efficient Nonparametric Tensor Decomposition for Binary and Count Data Zerui Tao Toshihisa Tanaka Qibin Zhao 69 2 0 15 Jan 2024
Wasserstein Nonnegative Tensor Factorization with Manifold Regularization Jianyu Wang Linruize Tang 21 0 0 03 Jan 2024
Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes Zheng Wang Shikai Fang Shibo Li Shandian Zhe 41 3 0 30 Oct 2023
The Ordered Matrix Dirichlet for State-Space Models Niklas Stoehr Benjamin J. Radford Ryan Cotterell Aaron Schein 65 5 0 08 Dec 2022
Robust Manifold Nonnegative Tucker Factorization for Tensor Data Representation Jianyu Wang Linruize Tang Jing Chen Jingdong Chen 151 0 0 08 Nov 2022
An Ordinal Latent Variable Model of Conflict Intensity Niklas Stoehr Lucas Torroba Hennigen Josef Valvoda Robert West Ryan Cotterell Aaron Schein 55 8 0 08 Oct 2022
Nonparametric Embeddings of Sparse High-Order Interaction Events Ziyi Wang Yiming Xu Conor Tillinghast Shibo Li A. Narayan Shandian Zhe 39 3 0 08 Jul 2022
Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition Ziyi Wang Shandian Zhe 19 6 0 06 Jul 2022
Beyond Smoothness: Incorporating Low-Rank Analysis into Nonparametric Density Estimation Robert A. Vandermeulen Antoine Ledent 96 7 0 02 Apr 2022
Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes Conor Tillinghast Ziyi Wang Shandian Zhe 53 7 0 19 Oct 2021
Applying Differential Privacy to Tensor Completion Zheng Wei Zhengpin Li Xiaojun Mao Jian Wang 67 1 0 01 Oct 2021
Spectral clustering via adaptive layer aggregation for multi-layer networks Sihan Huang Haolei Weng Yang Feng 84 22 0 07 Dec 2020
Improving Nonparametric Density Estimation with Tensor Decompositions Robert A. Vandermeulen 105 6 0 06 Oct 2020
Coarse-Grain Cluster Analysis of Tensors with Application to Climate Biome Identification Derek DeSantis P. Wolfram K. Bennett Boian Alexandrov 14 1 0 22 Jan 2020
Conditional Hierarchical Bayesian Tucker Decomposition for Genetic Data Analysis Adam Sandler Diego Klabjan Yuan Luo CML 43 0 0 27 Nov 2019
Poisson-Randomized Gamma Dynamical Systems Aaron Schein Scott W. Linderman Mingyuan Zhou David M. Blei Hanna M. Wallach 62 19 0 28 Oct 2019
Bayesian Temporal Factorization for Multidimensional Time Series Prediction Xinyu Chen Lijun Sun AI4TS 71 216 0 14 Oct 2019
Variational Auto-encoder Based Bayesian Poisson Tensor Factorization for Sparse and Imbalanced Count Data Yuan Jin Ming Liu Yunfeng Li Ruohua Xu Lan Du Longxiang Gao Yong Xiang 29 5 0 12 Oct 2019
Sequential Edge Clustering in Temporal Multigraphs Elahe Ghalebi H. Mahyar Radu Grosu Graham W. Taylor Sinead Williamson 149 0 0 28 May 2019
Optimal Bayesian Estimation for Random Dot Product Graphs Fangzheng Xie Yanxun Xu 35 13 0 26 Apr 2019
Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya Urns A. Cemgil M. Burak Kurutmaz S. Yıldırım Melih Barsbey Umut Simsekli 74 6 0 11 Mar 2019
TuckER: Tensor Factorization for Knowledge Graph Completion Ivana Balazevic Carl Allen Timothy M. Hospedales 81 732 0 28 Jan 2019
Locally Private Bayesian Inference for Count Models Aaron Schein Zhiwei Steven Wu Alexandra Schofield Mingyuan Zhou Hanna M. Wallach 154 37 0 22 Mar 2018
The Power Mean Laplacian for Multilayer Graph Clustering Pedro Mercado A. Gautier Francesco Tudisco Matthias Hein 44 28 0 01 Mar 2018
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs Rakshit S. Trivedi H. Dai Yichen Wang Le Song BDL 101 480 0 16 May 2017
Generating Politically-Relevant Event Data John Beieler 52 36 0 20 Sep 2016
Bayesian Learning of Dynamic Multilayer Networks Daniele Durante Nabanita Mukherjee R. Steorts AI4CE 126 25 0 07 Aug 2016