Heterogeneous Matrix Factorization: When Features Differ by Datasets
Fuente:
arXiv
Saved in:
| Main Authors: | Shi, Naichen, Kontar, Raed Al, Fattahi, Salar |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components
by: Shi, Naichen, et al.
Published: (2024)
by: Shi, Naichen, 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)
Personalized PCA: Decoupling Shared and Unique Features
by: Shi, Naichen, et al.
Published: (2022)
by: Shi, Naichen, et al.
Published: (2022)
The Traveling Bandit: A Framework for Bayesian Optimization with Movement Costs
by: Chen, Qiyuan, et al.
Published: (2024)
by: Chen, Qiyuan, et al.
Published: (2024)
Diffusion-Based Surrogate Modeling and Multi-Fidelity Calibration
by: Shi, Naichen, et al.
Published: (2024)
by: Shi, Naichen, et al.
Published: (2024)
Behavioral Heterogeneity as Quantum-Inspired Representation
by: Elayan, Mohammad, et al.
Published: (2026)
by: Elayan, Mohammad, et al.
Published: (2026)
Causal Discovery from Heteroscedastic Stochastic Dynamical Systems under Imperfect Physical Models
by: Chen, Jianhong, et al.
Published: (2026)
by: Chen, Jianhong, et al.
Published: (2026)
Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language Models
by: Song, Haoyi, et al.
Published: (2025)
by: Song, Haoyi, et al.
Published: (2025)
Collaborative Contextual Bayesian Optimization
by: Chang, Chih-Yu, et al.
Published: (2026)
by: Chang, Chih-Yu, et al.
Published: (2026)
Collaborative and Federated Black-box Optimization: A Bayesian Optimization Perspective
by: Kontar, Raed Al
Published: (2024)
by: Kontar, Raed Al
Published: (2024)
ALBATROSS: Cheap Filtration Based Geometry via Stochastic Sub-Sampling
by: Stier, Andrew J., et al.
Published: (2025)
by: Stier, Andrew J., et al.
Published: (2025)
Factor Augmented Matrix Regression
by: Chen, Elynn, et al.
Published: (2024)
by: Chen, Elynn, et al.
Published: (2024)
Generalized Matrix Factor Model
by: Kong, Xinbing, et al.
Published: (2024)
by: Kong, Xinbing, et al.
Published: (2024)
Convergence of Gradient Descent with Small Initialization for Unregularized Matrix Completion
by: Ma, Jianhao, et al.
Published: (2024)
by: Ma, Jianhao, et al.
Published: (2024)
Can Learning Be Explained By Local Optimality In Robust Low-rank Matrix Recovery?
by: Ma, Jianhao, et al.
Published: (2023)
by: Ma, Jianhao, et al.
Published: (2023)
Time-Varying Matrix Factor Models
by: Chen, Bin, et al.
Published: (2024)
by: Chen, Bin, et al.
Published: (2024)
Bias-Variance Tradeoff of Matching Prior to Difference-in-Differences When Parallel Trends is Violated
by: Ge, Mingxuan, et al.
Published: (2025)
by: Ge, Mingxuan, et al.
Published: (2025)
Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization
by: Zhang, Gavin, et al.
Published: (2025)
by: Zhang, Gavin, et al.
Published: (2025)
A Causal Framework for Evaluating Drivers of Policy Effect Heterogeneity Using Difference-in-Differences
by: Hettinger, Gary, et al.
Published: (2024)
by: Hettinger, Gary, et al.
Published: (2024)
Matrix Quantile Factor Model
by: Kong, Xin-Bing, et al.
Published: (2022)
by: Kong, Xin-Bing, et al.
Published: (2022)
Covariate-moderated Empirical Bayes Matrix Factorization
by: Denault, William R. P., et al.
Published: (2025)
by: Denault, William R. P., et al.
Published: (2025)
Real-time Adaptation for Condition Monitoring Signal Prediction using Label-aware Neural Processes
by: Chung, Seokhyun, et al.
Published: (2024)
by: Chung, Seokhyun, et al.
Published: (2024)
Online Learning of Optimal Sequential Testing Policies
by: Chen, Qiyuan, et al.
Published: (2025)
by: Chen, Qiyuan, et al.
Published: (2025)
Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling
by: Yue, Xubo, et al.
Published: (2021)
by: Yue, Xubo, et al.
Published: (2021)
Discussion of "Matrix Completion When Missing Is Not at Random and Its Applications in Causal Panel Data Models"
by: Ben-Michael, Eli, et al.
Published: (2026)
by: Ben-Michael, Eli, et al.
Published: (2026)
Factor Modelling for Biclustering Large-dimensional Matrix-valued Time Series
by: He, Yong, et al.
Published: (2025)
by: He, Yong, et al.
Published: (2025)
Generalized Poisson Matrix Factorization for Overdispersed Count Data
by: Ohashi, Ryo, et al.
Published: (2025)
by: Ohashi, Ryo, et al.
Published: (2025)
Mixed Matrix Completion in Complex Survey Sampling under Heterogeneous Missingness
by: Mao, Xiaojun, et al.
Published: (2024)
by: Mao, Xiaojun, et al.
Published: (2024)
Large-scale Data Integration using Matrix Denoising and Geometric Factor Matching
by: Held, Felix
Published: (2024)
by: Held, Felix
Published: (2024)
Regularized Estimation of the Loading Matrix in Factor Models for High-Dimensional Time Series
by: Liu, Xialu, et al.
Published: (2025)
by: Liu, Xialu, et al.
Published: (2025)
Leveraging Shared Factor Structures for Enhanced Matrix Completion with Nonconvex Penalty Regularization
by: A, Yuanhong, et al.
Published: (2025)
by: A, Yuanhong, et al.
Published: (2025)
Predicting Batting Averages in Specific Matchups Using Generalized Linked Matrix Factorization
by: O'Connell, Michael J.
Published: (2024)
by: O'Connell, Michael J.
Published: (2024)
Statistical Inference for High-dimensional Matrix-variate Factor Models with Missing Observations
by: Zhang, Yongxia, et al.
Published: (2025)
by: Zhang, Yongxia, et al.
Published: (2025)
Factor Strength Estimation in Vector and Matrix Time Series Factor Models
by: Chen, Weilin, et al.
Published: (2024)
by: Chen, Weilin, et al.
Published: (2024)
Difference-Based High-Dimensional Long-Run Covariance Matrix Estimation for Mean-shift Time Series
by: Liu, Yanhong, et al.
Published: (2026)
by: Liu, Yanhong, et al.
Published: (2026)
Dynamic Matrix Factor Models for High Dimensional Time Series
by: Yu, Ruofan, et al.
Published: (2024)
by: Yu, Ruofan, et al.
Published: (2024)
Denoising and Multilinear Projected-Estimation of High-Dimensional Matrix-Variate Factor Time Series
by: Gao, Zhaoxing, et al.
Published: (2023)
by: Gao, Zhaoxing, et al.
Published: (2023)
Applying Non-negative Matrix Factorization with Covariates to the Longitudinal Data as Growth Curve Model
by: Satoh, Kenichi
Published: (2024)
by: Satoh, Kenichi
Published: (2024)
Bayesian Matrix Factor Models for Demographic Analysis Across Age and Time
by: Zens, Gregor
Published: (2025)
by: Zens, Gregor
Published: (2025)
Factor and Idiosyncratic VAR Volatility Matrix Models for Heavy-Tailed High-Frequency Financial Observations
by: Shin, Minseok, et al.
Published: (2021)
by: Shin, Minseok, et al.
Published: (2021)
Similar Items
-
Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components
by: Shi, Naichen, et al.
Published: (2024) -
Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data
by: Hu, Jiuyun, et al.
Published: (2023) -
Personalized PCA: Decoupling Shared and Unique Features
by: Shi, Naichen, et al.
Published: (2022) -
The Traveling Bandit: A Framework for Bayesian Optimization with Movement Costs
by: Chen, Qiyuan, et al.
Published: (2024) -
Diffusion-Based Surrogate Modeling and Multi-Fidelity Calibration
by: Shi, Naichen, et al.
Published: (2024)