Bayesian Adaptive Tucker Decompositions for Tensor Factorization
Fuente:
arXiv
Saved in:
| Main Authors: | Stolf, Federica, Canale, Antonio |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adaptive partition Factor Analysis
by: Bortolato, Elena, et al.
Published: (2024)
by: Bortolato, Elena, et al.
Published: (2024)
Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data
by: Hu, Jiuyun, et al.
Published: (2023)
by: Hu, Jiuyun, et al.
Published: (2023)
Infinite joint species distribution models
by: Stolf, Federica, et al.
Published: (2024)
by: Stolf, Federica, et al.
Published: (2024)
Conditional Hierarchical Bayesian Tucker Decomposition for Genetic Data Analysis
by: Sandler, Adam, et al.
Published: (2019)
by: Sandler, Adam, et al.
Published: (2019)
Bayesian local clustering of functional data via semi-Markovian random partitions
by: Toto, Giovanni, et al.
Published: (2025)
by: Toto, Giovanni, et al.
Published: (2025)
A Semi-Parametric Bayesian Spatial Model for Rainfall Events in Geographically Complex Domains
by: Onorati, Paolo, et al.
Published: (2025)
by: Onorati, Paolo, et al.
Published: (2025)
Pathway-based Bayesian factor models for 'omics data
by: Mauri, Lorenzo, et al.
Published: (2026)
by: Mauri, Lorenzo, et al.
Published: (2026)
A Bayesian Model for Co-clustering Ordinal Data with Informative Missing Entries
by: Giampino, Alice, et al.
Published: (2024)
by: Giampino, Alice, et al.
Published: (2024)
Mortality Forecasting as a Flow Field in Tucker Decomposition Space
by: Clark, Samuel J.
Published: (2026)
by: Clark, Samuel J.
Published: (2026)
Bayesian Semiparametric Orthogonal Tucker Factorized Mixed Models for Multi-dimensional Longitudinal Functional Data
by: Roy, Arkaprava, et al.
Published: (2025)
by: Roy, Arkaprava, et al.
Published: (2025)
Tucker Diffusion Model for High-dimensional Tensor Generation
by: Guo, Jianhua, et al.
Published: (2026)
by: Guo, Jianhua, et al.
Published: (2026)
Degrees of Freedom in Penalized Regression: Model Selection with Adaptive Penalties
by: Bernardi, Mauro, et al.
Published: (2025)
by: Bernardi, Mauro, et al.
Published: (2025)
Flexible Bayesian Tensor Decomposition for Verbal Autopsy Data
by: Zhu, Yu, et al.
Published: (2025)
by: Zhu, Yu, et al.
Published: (2025)
Decoding Neuronal Ensembles from Spatially-Referenced Calcium Traces: A Bayesian Semiparametric Approach
by: D'Angelo, Laura, et al.
Published: (2025)
by: D'Angelo, Laura, et al.
Published: (2025)
A Bayesian Sparse Kronecker Product Decomposition Framework for Tensor Predictors with Mixed-Type Responses
by: Wang, Shao-Hsuan, et al.
Published: (2025)
by: Wang, Shao-Hsuan, et al.
Published: (2025)
Linked-Tucker Factorized Individualized Regression for Paired Multivariate Categorical Outcomes
by: Roy, Arkaprava, et al.
Published: (2026)
by: Roy, Arkaprava, et al.
Published: (2026)
Bayesian Nonparametrics for Principal Stratification with Continuous Post-Treatment Variables
by: Zorzetto, Dafne, et al.
Published: (2024)
by: Zorzetto, Dafne, et al.
Published: (2024)
On the Posterior Computation Under the Dirichlet-Laplace Prior
by: Onorati, Paolo, et al.
Published: (2025)
by: Onorati, Paolo, et al.
Published: (2025)
Bayesian Methods in Tensor Analysis
by: Shi, Yiyao, et al.
Published: (2023)
by: Shi, Yiyao, et al.
Published: (2023)
Compressed Bayesian Tensor Regression
by: Casarin, Roberto, et al.
Published: (2025)
by: Casarin, Roberto, et al.
Published: (2025)
Bayesian Tensor-on-Tensor Varying Coefficient Model for Forecasting Alzheimer's Disease Progression
by: Liu, Yajie, et al.
Published: (2026)
by: Liu, Yajie, et al.
Published: (2026)
Tucker tensor factor models: matricization and mode-wise PCA estimation
by: Zhang, Xu, et al.
Published: (2022)
by: Zhang, Xu, et al.
Published: (2022)
Tensor Stochastic Regression for High-dimensional Time Series via CP Decomposition
by: Li, Shibo, et al.
Published: (2025)
by: Li, Shibo, et al.
Published: (2025)
Factor Augmented Tensor-on-Tensor Neural Networks
by: Zhou, Guanhao, et al.
Published: (2024)
by: Zhou, Guanhao, et al.
Published: (2024)
Tensor Decomposition with Unaligned Observations
by: Tang, Runshi, et al.
Published: (2024)
by: Tang, Runshi, et al.
Published: (2024)
Variational Bayesian Logistic Tensor Regression with Application to Image Recognition
by: Jin, Yunzhi, et al.
Published: (2025)
by: Jin, Yunzhi, et al.
Published: (2025)
Spectral Change Point Estimation for High Dimensional Time Series by Sparse Tensor Decomposition
by: Zhang, Xinyu, et al.
Published: (2023)
by: Zhang, Xinyu, et al.
Published: (2023)
Robust Spatiotemporally Contiguous Anomaly Detection Using Tensor Decomposition
by: Mondal, Rachita, et al.
Published: (2025)
by: Mondal, Rachita, et al.
Published: (2025)
Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior
by: Chen, Shuoli, et al.
Published: (2023)
by: Chen, Shuoli, et al.
Published: (2023)
CP Factor Model for Dynamic Tensors
by: Han, Yuefeng, et al.
Published: (2021)
by: Han, Yuefeng, et al.
Published: (2021)
SARMA: Scalable Low-Rank High-Dimensional Autoregressive Moving Averages via Tensor Decomposition
by: Huang, Feiqing, et al.
Published: (2024)
by: Huang, Feiqing, et al.
Published: (2024)
Bayesian Clustering Factor Models
by: Shin, Hwasoo, et al.
Published: (2025)
by: Shin, Hwasoo, et al.
Published: (2025)
CoMET: A Compressed Bayesian Mixed-Effects Model for High-Dimensional Tensors
by: Sarkar, Sreya, et al.
Published: (2026)
by: Sarkar, Sreya, et al.
Published: (2026)
Bayesian Scalar-on-Tensor Quantile Regression for Longitudinal Data on Alzheimer's Disease
by: Lyu, Rongke, et al.
Published: (2026)
by: Lyu, Rongke, et al.
Published: (2026)
Multiple Linked Tensor Factorization
by: Kang, Zhiyu, et al.
Published: (2025)
by: Kang, Zhiyu, et al.
Published: (2025)
Comment on 'Sparse Bayesian Factor Analysis when the Number of Factors is Unknown' by S. Frühwirth-Schnatter, D. Hosszejni, and H. Freitas Lopes
by: Casarin, Roberto, et al.
Published: (2024)
by: Casarin, Roberto, et al.
Published: (2024)
Projected Bayesian Spatial Factor Models
by: Zhang, Lu
Published: (2025)
by: Zhang, Lu
Published: (2025)
Bayesian Dynamic Clustering Factor Models
by: Dolkar, Tsering, et al.
Published: (2025)
by: Dolkar, Tsering, et al.
Published: (2025)
Sparse Bayesian Factor Models with Mass-Nonlocal Factor Scores
by: Huang, Yingjie, et al.
Published: (2024)
by: Huang, Yingjie, et al.
Published: (2024)
Adaptive Shrinkage with a Nonparametric Bayesian Lasso
by: Marin, Santiago, et al.
Published: (2024)
by: Marin, Santiago, et al.
Published: (2024)
Similar Items
-
Adaptive partition Factor Analysis
by: Bortolato, Elena, et al.
Published: (2024) -
Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data
by: Hu, Jiuyun, et al.
Published: (2023) -
Infinite joint species distribution models
by: Stolf, Federica, et al.
Published: (2024) -
Conditional Hierarchical Bayesian Tucker Decomposition for Genetic Data Analysis
by: Sandler, Adam, et al.
Published: (2019) -
Bayesian local clustering of functional data via semi-Markovian random partitions
by: Toto, Giovanni, et al.
Published: (2025)