Envelope-Guided Regularization for Improved Prediction in High-Dimensional Multivariate Regression
Fuente:
arXiv
Guardado en:
| Autores principales: | Jacobson, Tate, Kwon, Oh-Ran |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Enhanced Response Envelope via Envelope Regularization
por: Kwon, Oh-Ran, et al.
Publicado: (2023)
por: Kwon, Oh-Ran, et al.
Publicado: (2023)
Strong Oracle Guarantees for Partial Penalized Tests of High Dimensional Generalized Linear Models
por: Jacobson, Tate
Publicado: (2024)
por: Jacobson, Tate
Publicado: (2024)
Nonparametric Envelopes for Flexible Response Reduction
por: Jacobson, Tate
Publicado: (2025)
por: Jacobson, Tate
Publicado: (2025)
Exact Coordinate Descent for High-Dimensional Regularized Huber Regression
por: Kim, Younghoon, et al.
Publicado: (2025)
por: Kim, Younghoon, et al.
Publicado: (2025)
Dominating Hyperplane Regularization for Variable Selection in Multivariate Count Regression
por: Cooper, Alysha, et al.
Publicado: (2025)
por: Cooper, Alysha, et al.
Publicado: (2025)
LASSO Inference for High Dimensional Predictive Regressions
por: Gao, Zhan, et al.
Publicado: (2024)
por: Gao, Zhan, et al.
Publicado: (2024)
Transfer Learning for Moderate-Dimensional Ridge-Regularized Robust Linear Regression
por: Lyu, Lingfeng, et al.
Publicado: (2026)
por: Lyu, Lingfeng, et al.
Publicado: (2026)
Univariate-Guided Sparse Regression for Biobank-Scale High-Dimensional Omics Data
por: Richland, Joshua, et al.
Publicado: (2025)
por: Richland, Joshua, et al.
Publicado: (2025)
Semi-Supervised Learning of Noisy Mixture of Experts Models
por: Kwon, Oh-Ran, et al.
Publicado: (2024)
por: Kwon, Oh-Ran, et al.
Publicado: (2024)
High-Dimensional Extreme Quantile Regression
por: Tang, Yiwei, et al.
Publicado: (2024)
por: Tang, Yiwei, et al.
Publicado: (2024)
High-Dimensional Expected Shortfall Regression
por: Zhang, Shushu, et al.
Publicado: (2023)
por: Zhang, Shushu, et al.
Publicado: (2023)
Regression Copulas for Multivariate Responses
por: Klein, Nadja, et al.
Publicado: (2024)
por: Klein, Nadja, et al.
Publicado: (2024)
Adaptive Test for High Dimensional Quantile Regression
por: Zhao, Ping, et al.
Publicado: (2025)
por: Zhao, Ping, et al.
Publicado: (2025)
CREDO: Epistemic-Aware Conformalized Credal Envelopes for Regression
por: Cabezas, Luben M. C., et al.
Publicado: (2026)
por: Cabezas, Luben M. C., et al.
Publicado: (2026)
High-Dimensional Regularized Additive Matrix Autoregressive Model
por: Ghosh, Debika, et al.
Publicado: (2025)
por: Ghosh, Debika, et al.
Publicado: (2025)
High-Dimensional Multivariate VAR Estimation with Spatio-Temporal Structure
por: Bai, Peiliang
Publicado: (2026)
por: Bai, Peiliang
Publicado: (2026)
Unified Operator Framework for Functional and Multivariate Regression
por: Carpenter, Mark, et al.
Publicado: (2026)
por: Carpenter, Mark, et al.
Publicado: (2026)
Truly Multivariate Structured Additive Distributional Regression
por: Kock, Lucas, et al.
Publicado: (2023)
por: Kock, Lucas, et al.
Publicado: (2023)
Covariance Regression with High-Dimensional Predictors
por: He, Yuheng, et al.
Publicado: (2024)
por: He, Yuheng, et al.
Publicado: (2024)
Multivariate Nonnegative Trigonometric Sums Distributions for High-Dimensional Multivariate Circular Data
por: Fernández-Durán, et al.
Publicado: (2023)
por: Fernández-Durán, et al.
Publicado: (2023)
Cross-Semantic Transfer Learning for High-Dimensional Linear Regression
por: Jiang, Jiancheng, et al.
Publicado: (2025)
por: Jiang, Jiancheng, et al.
Publicado: (2025)
Model Form Identification in High-Dimensional Functional Linear Regressions
por: Guo, Xingche, et al.
Publicado: (2026)
por: Guo, Xingche, et al.
Publicado: (2026)
A Network-Guided Penalized Regression with Application to Proteomics Data
por: Ahn, Seungjun, et al.
Publicado: (2025)
por: Ahn, Seungjun, et al.
Publicado: (2025)
Regularized Estimation of High-Dimensional Matrix-Variate Autoregressive Models
por: Jiang, Hangjin, et al.
Publicado: (2024)
por: Jiang, Hangjin, et al.
Publicado: (2024)
Nonlinear Multivariate Function-on-function Regression with Variable Selection
por: Haijie, Xu, et al.
Publicado: (2024)
por: Haijie, Xu, et al.
Publicado: (2024)
High-Dimensional Time-Varying Coefficient Estimation in Diffusion Models
por: Kim, Donggyu, et al.
Publicado: (2022)
por: Kim, Donggyu, et al.
Publicado: (2022)
Adaptive Influence Diagnostics in High-Dimensional Regression
por: Soale, Abdul-Nasah, et al.
Publicado: (2025)
por: Soale, Abdul-Nasah, et al.
Publicado: (2025)
Transfer Learning for High Dimensional Robust Regression
por: Yuan, Xiaohui, et al.
Publicado: (2024)
por: Yuan, Xiaohui, et al.
Publicado: (2024)
Data Sketching and Stacking: A Confluence of Two Strategies for Predictive Inference in Gaussian Process Regressions with High-Dimensional Features
por: Gailliot, Samuel, et al.
Publicado: (2024)
por: Gailliot, Samuel, et al.
Publicado: (2024)
Multi-Task Learning for High-Dimensional Regression with Many Weak Instruments
por: Zhang, Di, et al.
Publicado: (2025)
por: Zhang, Di, et al.
Publicado: (2025)
Matrix-Variate Regression Model for Multivariate Spatio-Temporal Data
por: Diniz, Carlos A. Ribeiro, et al.
Publicado: (2025)
por: Diniz, Carlos A. Ribeiro, et al.
Publicado: (2025)
Quantile Residual Lifetime Regression for Multivariate Failure Time Data
por: Yu, Tonghui, et al.
Publicado: (2025)
por: Yu, Tonghui, et al.
Publicado: (2025)
Sparse Multivariate Linear Regression with Strongly Associated Response Variables
por: Ham, Daeyoung, et al.
Publicado: (2024)
por: Ham, Daeyoung, et al.
Publicado: (2024)
Hamiltonian Monte Carlo for Regression with High-Dimensional Categorical Data
por: Sacher, Szymon, et al.
Publicado: (2021)
por: Sacher, Szymon, et al.
Publicado: (2021)
High Dimensional Logistic Regression Under Network Dependence
por: Mukherjee, Somabha, et al.
Publicado: (2021)
por: Mukherjee, Somabha, et al.
Publicado: (2021)
Possibilistic Inferential Models for Post-Selection Inference in High-Dimensional Linear Regression
por: Lin, Yaohui
Publicado: (2025)
por: Lin, Yaohui
Publicado: (2025)
Efficient Data Reduction Strategies for Big Data and High-Dimensional LASSO Regressions
por: Wang, Xin, et al.
Publicado: (2024)
por: Wang, Xin, et al.
Publicado: (2024)
Regularized Estimation of the Loading Matrix in Factor Models for High-Dimensional Time Series
por: Liu, Xialu, et al.
Publicado: (2025)
por: Liu, Xialu, et al.
Publicado: (2025)
Lecture Notes on High Dimensional Linear Regression
por: Quaini, Alberto
Publicado: (2024)
por: Quaini, Alberto
Publicado: (2024)
Calibrated Multivariate Regression with Localized PIT Mappings
por: Kock, Lucas, et al.
Publicado: (2024)
por: Kock, Lucas, et al.
Publicado: (2024)
Ejemplares similares
-
Enhanced Response Envelope via Envelope Regularization
por: Kwon, Oh-Ran, et al.
Publicado: (2023) -
Strong Oracle Guarantees for Partial Penalized Tests of High Dimensional Generalized Linear Models
por: Jacobson, Tate
Publicado: (2024) -
Nonparametric Envelopes for Flexible Response Reduction
por: Jacobson, Tate
Publicado: (2025) -
Exact Coordinate Descent for High-Dimensional Regularized Huber Regression
por: Kim, Younghoon, et al.
Publicado: (2025) -
Dominating Hyperplane Regularization for Variable Selection in Multivariate Count Regression
por: Cooper, Alysha, et al.
Publicado: (2025)