High-dimensional prediction for count response via sparse exponential weights
Fuente:
arXiv
Saved in:
| Main Author: | Mai, The Tien |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
High-dimensional Bayesian Tobit regression for censored response with Horseshoe prior
by: Mai, The Tien
Published: (2025)
by: Mai, The Tien
Published: (2025)
Optimal sparse phase retrieval via a quasi-Bayesian approach
by: Mai, The Tien
Published: (2025)
by: Mai, The Tien
Published: (2025)
Handling bounded response in high dimensions: a Horseshoe prior Bayesian Beta regression approach
by: Mai, The Tien
Published: (2025)
by: Mai, The Tien
Published: (2025)
A sparse PAC-Bayesian approach for high-dimensional quantile prediction
by: Mai, The Tien
Published: (2024)
by: Mai, The Tien
Published: (2024)
Kullback-Leibler excess risk bounds for exponential weighted aggregation in Generalized linear models
by: Mai, The Tien
Published: (2025)
by: Mai, The Tien
Published: (2025)
Concentration of a sparse Bayesian model with Horseshoe prior in estimating high-dimensional precision matrix
by: Mai, The Tien
Published: (2024)
by: Mai, The Tien
Published: (2024)
Adaptive posterior concentration rates for sparse high-dimensional linear regression with random design and unknown error variance
by: Mai, The Tien
Published: (2024)
by: Mai, The Tien
Published: (2024)
Exponential Lasso: robust sparse penalization under heavy-tailed noise and outliers with exponential-type loss
by: Mai, The Tien
Published: (2025)
by: Mai, The Tien
Published: (2025)
Misclassification bounds for PAC-Bayesian sparse deep learning
by: Mai, The Tien
Published: (2024)
by: Mai, The Tien
Published: (2024)
High-dimensional sparse classification using exponential weighting with empirical hinge loss
by: Mai, The Tien
Published: (2023)
by: Mai, The Tien
Published: (2023)
Censored Graphical Horseshoe: Bayesian sparse precision matrix estimation with censored and missing data
by: Mai, The Tien, et al.
Published: (2026)
by: Mai, The Tien, et al.
Published: (2026)
Classification by sparse generalized additive models
by: Abramovich, Felix
Published: (2022)
by: Abramovich, Felix
Published: (2022)
High-dimensional regression with a count response
by: Zilberman, Or, et al.
Published: (2024)
by: Zilberman, Or, et al.
Published: (2024)
Optimal Sparse Singular Value Decomposition for High-dimensional High-order Data
by: Zhang, Anru, et al.
Published: (2018)
by: Zhang, Anru, et al.
Published: (2018)
Transfer Learning for High-dimensional Quantile Regression with Distribution Shift
by: Bai, Ruiqi, et al.
Published: (2024)
by: Bai, Ruiqi, et al.
Published: (2024)
Dendrograms of Mixing Measures for Softmax-Gated Gaussian Mixture of Experts: Consistency without Model Sweeps
by: Hai, Do Tien, et al.
Published: (2025)
by: Hai, Do Tien, et al.
Published: (2025)
Generalized Grade-of-Membership Estimation for High-dimensional Locally Dependent Data
by: Chen, Ling, et al.
Published: (2024)
by: Chen, Ling, et al.
Published: (2024)
High‐dimensional prediction for count response via sparse exponential weights
by: The Tien Mai
Published: (2025)
by: The Tien Mai
Published: (2025)
AdaTrans: Feature-wise and Sample-wise Adaptive Transfer Learning for High-dimensional Regression
by: He, Zelin, et al.
Published: (2024)
by: He, Zelin, et al.
Published: (2024)
Adaptively-weighted Nearest Neighbors for Matrix Completion
by: Sadhukhan, Tathagata, et al.
Published: (2025)
by: Sadhukhan, Tathagata, et al.
Published: (2025)
Dimension-free bounds in high-dimensional linear regression via error-in-operator approach
by: Noskov, Fedor, et al.
Published: (2025)
by: Noskov, Fedor, et al.
Published: (2025)
High-dimensional Clustering and Signal Recovery under Block Signals
by: Su, Wu, et al.
Published: (2025)
by: Su, Wu, et al.
Published: (2025)
Rate doubly robust estimation for weighted average treatment effects
by: Wang, Yiming, et al.
Published: (2025)
by: Wang, Yiming, et al.
Published: (2025)
Tail allocation for conformal prediction intervals
by: Wang, Tianying
Published: (2026)
by: Wang, Tianying
Published: (2026)
Heavy Lasso: sparse penalized regression under heavy-tailed noise via data-augmented soft-thresholding
by: Mai, The Tien
Published: (2025)
by: Mai, The Tien
Published: (2025)
Model-based causal feature selection for general response types
by: Kook, Lucas, et al.
Published: (2023)
by: Kook, Lucas, et al.
Published: (2023)
High-dimensional analysis of ridge regression for non-identically distributed data with a variance profile
by: Bigot, Jérémie, et al.
Published: (2024)
by: Bigot, Jérémie, et al.
Published: (2024)
High-dimensional ridge regression with random features for non-identically distributed data with a variance profile
by: Dabo, Issa-Mbenard, et al.
Published: (2025)
by: Dabo, Issa-Mbenard, et al.
Published: (2025)
Debiased Bayesian Inference for High-dimensional Regression Models
by: Chen, Qihui, et al.
Published: (2025)
by: Chen, Qihui, et al.
Published: (2025)
Low dimensional representation of multi-patient flow cytometry datasets using optimal transport for minimal residual disease detection in leukemia
by: Gachon, Erell, et al.
Published: (2024)
by: Gachon, Erell, et al.
Published: (2024)
Optimizing High-Dimensional Oblique Splits
by: Chi, Chien-Ming
Published: (2025)
by: Chi, Chien-Ming
Published: (2025)
SOFARI: High-Dimensional Manifold-Based Inference
by: Zheng, Zemin, et al.
Published: (2023)
by: Zheng, Zemin, et al.
Published: (2023)
Jointly Modeling and Clustering Tensors in High Dimensions
by: Cai, Biao, et al.
Published: (2021)
by: Cai, Biao, et al.
Published: (2021)
Hypothesis Testing for High-Dimensional Matrix-Valued Data
by: Cui, Shijie, et al.
Published: (2024)
by: Cui, Shijie, et al.
Published: (2024)
Adaptive and Stratified Subsampling for High-Dimensional Robust Estimation
by: Mittal, Prateek, et al.
Published: (2024)
by: Mittal, Prateek, et al.
Published: (2024)
Conjugate gradient methods for high-dimensional GLMMs
by: Pandolfi, Andrea, et al.
Published: (2024)
by: Pandolfi, Andrea, et al.
Published: (2024)
Optimal Discriminant Analysis in High-Dimensional Latent Factor Models
by: Bing, Xin, et al.
Published: (2022)
by: Bing, Xin, et al.
Published: (2022)
Doubly robust inference via calibration
by: van der Laan, Lars, et al.
Published: (2024)
by: van der Laan, Lars, et al.
Published: (2024)
Statistical Inference for Manifold Similarity and Alignability across Noisy High-Dimensional Datasets
by: Chen, Hongrui, et al.
Published: (2025)
by: Chen, Hongrui, 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)
Similar Items
-
High-dimensional Bayesian Tobit regression for censored response with Horseshoe prior
by: Mai, The Tien
Published: (2025) -
Optimal sparse phase retrieval via a quasi-Bayesian approach
by: Mai, The Tien
Published: (2025) -
Handling bounded response in high dimensions: a Horseshoe prior Bayesian Beta regression approach
by: Mai, The Tien
Published: (2025) -
A sparse PAC-Bayesian approach for high-dimensional quantile prediction
by: Mai, The Tien
Published: (2024) -
Kullback-Leibler excess risk bounds for exponential weighted aggregation in Generalized linear models
by: Mai, The Tien
Published: (2025)