High-Dimensional Tensor Discriminant Analysis with Incomplete Tensors
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Elynn, Han, Yuefeng, Li, Jiayu |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
High-Dimensional Tensor Classification with CP Low-Rank Discriminant Structure
by: Chen, Elynn, et al.
Published: (2024)
by: Chen, Elynn, et al.
Published: (2024)
High-Dimensional Tensor Discriminant Analysis: Low-Rank Discriminant Structure, Representation Synergy, and Theoretical Guarantees
by: Chen, Elynn, et al.
Published: (2025)
by: Chen, Elynn, et al.
Published: (2025)
Statistical Inference for Low-Rank Tensor Models
by: Xu, Ke, et al.
Published: (2025)
by: Xu, Ke, 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)
High-Dimensional Linear Bandits under Stochastic Latent Heterogeneity
by: Chen, Elynn, et al.
Published: (2025)
by: Chen, Elynn, et al.
Published: (2025)
Fourier Low-rank and Sparse Tensor for Efficient Tensor Completion
by: Li, Jingyang, et al.
Published: (2025)
by: Li, Jingyang, et al.
Published: (2025)
Robust Tensor-on-Tensor Regression
by: Hirari, Mehdi, et al.
Published: (2026)
by: Hirari, Mehdi, et al.
Published: (2026)
Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges
by: Auddy, Arnab, et al.
Published: (2024)
by: Auddy, Arnab, et al.
Published: (2024)
ACT-Tensor: Tensor Completion Framework for Financial Dataset Imputation
by: Mo, Junyi, et al.
Published: (2025)
by: Mo, Junyi, 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)
Modewise Additive Factor Model for Matrix Time Series
by: Chen, Elynn, et al.
Published: (2025)
by: Chen, Elynn, et al.
Published: (2025)
Online Tensor Inference
by: Wen, Xin, et al.
Published: (2023)
by: Wen, Xin, et al.
Published: (2023)
Data-Driven Knowledge Transfer in Batch $Q^*$ Learning
by: Chen, Elynn, et al.
Published: (2024)
by: Chen, Elynn, et al.
Published: (2024)
Transfer Learning for Contextual Joint Assortment-Pricing under Cross-Market Heterogeneity
by: Chen, Elynn, et al.
Published: (2026)
by: Chen, Elynn, et al.
Published: (2026)
Nonparametric Linear Discriminant Analysis for High Dimensional Matrix-Valued Data
by: Oh, Seungyeon, et al.
Published: (2025)
by: Oh, Seungyeon, et al.
Published: (2025)
Transfer Q-learning
by: Chen, Elynn, et al.
Published: (2022)
by: Chen, Elynn, et al.
Published: (2022)
Optimal Discriminant Analysis in High-Dimensional Latent Factor Models
by: Bing, Xin, et al.
Published: (2022)
by: Bing, Xin, et al.
Published: (2022)
CP Degeneracy in Tensor Regression
by: Zhou, Ya, et al.
Published: (2020)
by: Zhou, Ya, et al.
Published: (2020)
Tensor Neyman-Pearson Classification: Theory, Algorithms, and Error Control
by: Liu, Lingchong, et al.
Published: (2025)
by: Liu, Lingchong, et al.
Published: (2025)
Distributed Tensor Principal Component Analysis with Data Heterogeneity
by: Chen, Elynn, et al.
Published: (2024)
by: Chen, Elynn, et al.
Published: (2024)
Jointly Modeling and Clustering Tensors in High Dimensions
by: Cai, Biao, et al.
Published: (2021)
by: Cai, Biao, et al.
Published: (2021)
Causal Customer Churn Analysis with Low-rank Tensor Block Hazard Model
by: Gao, Chenyin, et al.
Published: (2024)
by: Gao, Chenyin, et al.
Published: (2024)
Dual-Channel Tensor Neural Networks: Finite-Sample Theory and Conformal Structure Selection
by: Chen, Elynn, et al.
Published: (2026)
by: Chen, Elynn, et al.
Published: (2026)
Transfer Faster, Price Smarter: Minimax Dynamic Pricing under Cross-Market Preference Shift
by: Zhang, Yi, et al.
Published: (2025)
by: Zhang, Yi, et al.
Published: (2025)
Diffusion Index Forecasting with Tensor Data
by: Chen, Bin, et al.
Published: (2025)
by: Chen, Bin, et al.
Published: (2025)
Structural Effect and Spectral Enhancement of High-Dimensional Regularized Linear Discriminant Analysis
by: Zhang, Yonghan, et al.
Published: (2025)
by: Zhang, Yonghan, et al.
Published: (2025)
Multiple Linked Tensor Factorization
by: Kang, Zhiyu, et al.
Published: (2025)
by: Kang, Zhiyu, et al.
Published: (2025)
K-Tensors: Clustering Positive Semi-Definite Matrices
by: Zhang, Hanchao, et al.
Published: (2023)
by: Zhang, Hanchao, et al.
Published: (2023)
Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data
by: Hu, Jiuyun, et al.
Published: (2023)
by: Hu, Jiuyun, 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)
BAMITA: Bayesian Multiple Imputation for Tensor Arrays
by: Jiang, Ziren, et al.
Published: (2024)
by: Jiang, Ziren, et al.
Published: (2024)
Threshold Tensor Factor Model in CP Form
by: Bolivar, Stevenson, et al.
Published: (2025)
by: Bolivar, Stevenson, et al.
Published: (2025)
Robust Tensor Regression with Nonconvexity: Algorithmic and Statistical Theory
by: Song, Zihao, et al.
Published: (2026)
by: Song, Zihao, et al.
Published: (2026)
Estimation and Inference for CP Tensor Factor Models
by: Chen, Bin, et al.
Published: (2024)
by: Chen, Bin, et al.
Published: (2024)
CP Factor Model for Dynamic Tensors
by: Han, Yuefeng, et al.
Published: (2021)
by: Han, Yuefeng, et al.
Published: (2021)
Tensor Decomposition with Unaligned Observations
by: Tang, Runshi, et al.
Published: (2024)
by: Tang, Runshi, et al.
Published: (2024)
Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models
by: Zhou, Guanhao, et al.
Published: (2025)
by: Zhou, Guanhao, et al.
Published: (2025)
Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay
by: Luo, Yuetian, et al.
Published: (2022)
by: Luo, Yuetian, et al.
Published: (2022)
Guaranteed Noisy CP Tensor Recovery via Riemannian Optimization on the Segre Manifold
by: Xu, Ke, et al.
Published: (2025)
by: Xu, Ke, et al.
Published: (2025)
Optimal Bias-variance Tradeoff in Matrix and Tensor Estimation
by: Kumar, Shivam, et al.
Published: (2025)
by: Kumar, Shivam, et al.
Published: (2025)
Similar Items
-
High-Dimensional Tensor Classification with CP Low-Rank Discriminant Structure
by: Chen, Elynn, et al.
Published: (2024) -
High-Dimensional Tensor Discriminant Analysis: Low-Rank Discriminant Structure, Representation Synergy, and Theoretical Guarantees
by: Chen, Elynn, et al.
Published: (2025) -
Statistical Inference for Low-Rank Tensor Models
by: Xu, Ke, et al.
Published: (2025) -
Factor Augmented Tensor-on-Tensor Neural Networks
by: Zhou, Guanhao, et al.
Published: (2024) -
High-Dimensional Linear Bandits under Stochastic Latent Heterogeneity
by: Chen, Elynn, et al.
Published: (2025)