Saved in:
| Main Authors: | Bley, Olivia, Lei, Elizabeth, Zhou, Andy, Shen, Xiaoxi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.00346 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Optimal and Structure-Adaptive CATE Estimation with Kernel Ridge Regression
by: Kim, Seok-Jin
Published: (2026)
by: Kim, Seok-Jin
Published: (2026)
Transfer Learning of CATE with Kernel Ridge Regression
by: Kim, Seok-Jin, et al.
Published: (2025)
by: Kim, Seok-Jin, et al.
Published: (2025)
HEDE: Heritability estimation in high dimensions by Ensembling Debiased Estimators
by: Song, Yanke, et al.
Published: (2024)
by: Song, Yanke, et al.
Published: (2024)
Generalized Ridge Regression: Biased Estimation for Multiple Linear Regression Models
by: Gómez, Román Salmerón, et al.
Published: (2024)
by: Gómez, Román Salmerón, et al.
Published: (2024)
Robust Genomic Prediction and Heritability Estimation using Density Power Divergence
by: Chowdhury, Upama Paul, et al.
Published: (2024)
by: Chowdhury, Upama Paul, et al.
Published: (2024)
Non-null Shrinkage Regression and Subset Selection via the Fractional Ridge Regression
by: Park, Sihyung, et al.
Published: (2025)
by: Park, Sihyung, et al.
Published: (2025)
Ridge Estimation of High Dimensional Two-Way Fixed Effect Regression
by: He, Junnan, et al.
Published: (2026)
by: He, Junnan, et al.
Published: (2026)
Optimal Functional Bilinear Regression with Two-way Functional Covariates via Reproducing Kernel Hilbert Space
by: Yang, Dan, et al.
Published: (2023)
by: Yang, Dan, et al.
Published: (2023)
Lasso-Ridge Refitting: A Two-Stage Estimator for High-Dimensional Linear Regression
by: Liu, Guo
Published: (2025)
by: Liu, Guo
Published: (2025)
Pseudo-Labeling for Kernel Ridge Regression under Covariate Shift
by: Wang, Kaizheng
Published: (2023)
by: Wang, Kaizheng
Published: (2023)
Benchmarking Heritability Estimation Strategies Across 86 Configurations and Their Downstream Effect on Polygenic Risk Score Performance
by: Muneeb, Muhammad, et al.
Published: (2026)
by: Muneeb, Muhammad, et al.
Published: (2026)
Tractable Ridge Regression for Paired Comparisons
by: Varin, Cristiano, et al.
Published: (2024)
by: Varin, Cristiano, et al.
Published: (2024)
Bayesian Kernel Machine Regression via Random Fourier Features for Estimating Joint Health Effects of Multiple Exposures
by: Zhang, Danlu, et al.
Published: (2025)
by: Zhang, Danlu, et al.
Published: (2025)
Collapsible Kernel Machine Regression for Exposomic Analyses
by: McGee, Glen, et al.
Published: (2024)
by: McGee, Glen, et al.
Published: (2024)
Conditional-Marginal Nonparametric Estimation for Stage Waiting Times from Multi-Stage Models under Dependent Right Censoring
by: Zhang, Xiaoxi, et al.
Published: (2025)
by: Zhang, Xiaoxi, et al.
Published: (2025)
Forest Kernel Balancing Weights: Outcome-Guided Features for Causal Inference
by: Shen, Andy A., et al.
Published: (2025)
by: Shen, Andy A., et al.
Published: (2025)
Generalized Ridge Regression: Applications to Nonorthogonal Linear Regression Models
by: Gómez, Román Salmerón, et al.
Published: (2025)
by: Gómez, Román Salmerón, et al.
Published: (2025)
Transfer Learning for Kernel-based Regression
by: Wang, Chao, et al.
Published: (2023)
by: Wang, Chao, et al.
Published: (2023)
Kernel Smoothing for Bounded Copula Densities
by: Muia, Mathias N., et al.
Published: (2025)
by: Muia, Mathias N., et al.
Published: (2025)
Transfer Learning for Moderate-Dimensional Ridge-Regularized Robust Linear Regression
by: Lyu, Lingfeng, et al.
Published: (2026)
by: Lyu, Lingfeng, et al.
Published: (2026)
Bayesian Image-on-Image Regression via Deep Kernel Learning based Gaussian Processes
by: Ma, Guoxuan, et al.
Published: (2023)
by: Ma, Guoxuan, et al.
Published: (2023)
Kernel Three Pass Regression Filter
by: Jat, Rajveer, et al.
Published: (2024)
by: Jat, Rajveer, et al.
Published: (2024)
Robust Local Polynomial Regression with Similarity Kernels
by: Shulman, Yaniv
Published: (2025)
by: Shulman, Yaniv
Published: (2025)
Wasserstein Regression with Empirical Measures and Density Estimation for Sparse Data
by: Zhou, Yidong, et al.
Published: (2023)
by: Zhou, Yidong, et al.
Published: (2023)
Ridge Regularized Estimation of VAR Models for Inference
by: Ballarin, Giovanni
Published: (2021)
by: Ballarin, Giovanni
Published: (2021)
Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery
by: Wang, Caixing, et al.
Published: (2024)
by: Wang, Caixing, et al.
Published: (2024)
High-dimensional Asymptotics of Generalization Performance in Continual Ridge Regression
by: Zhao, Yihan, et al.
Published: (2025)
by: Zhao, Yihan, et al.
Published: (2025)
Changing the Kernel During Training Leads to Double Descent in Kernel Regression
by: Allerbo, Oskar
Published: (2023)
by: Allerbo, Oskar
Published: (2023)
Multi-Layer Kernel Machines: Fast and Optimal Nonparametric Regression with Uncertainty Quantification
by: Dai, Xiaowu, et al.
Published: (2024)
by: Dai, Xiaowu, et al.
Published: (2024)
The Effective Number of Parameters in Kernel Density Estimation
by: Guglielmini, Sofia, et al.
Published: (2024)
by: Guglielmini, Sofia, et al.
Published: (2024)
Estimation of Treatment Effects based on Kernel Matching
by: Ding, Chong, et al.
Published: (2025)
by: Ding, Chong, et al.
Published: (2025)
Generalised Exponential Kernels for Nonparametric Density Estimation
by: Craig, Laura M., et al.
Published: (2026)
by: Craig, Laura M., et al.
Published: (2026)
Causal Effect Estimation on Restricted Mean Survival Time in Case-Cohort Studies via a Matching Design
by: Ni, Andy, et al.
Published: (2026)
by: Ni, Andy, et al.
Published: (2026)
Generalized Local Polynomial Regression with Decomposed Context-Aware Kernels
by: Shulman, Yaniv
Published: (2026)
by: Shulman, Yaniv
Published: (2026)
Simultaneous Sieve Estimation and Inference for Time-Varying Nonlinear Time Series Regression
by: Ding, Xiucai, et al.
Published: (2025)
by: Ding, Xiucai, et al.
Published: (2025)
Graph-based Square-Root Estimation for Sparse Linear Regression
by: Li, Peili, et al.
Published: (2024)
by: Li, Peili, et al.
Published: (2024)
Variable Selection with Broken Adaptive Ridge Regression for Interval-Censored Competing Risks Data
by: Mahmoudi, Fatemeh, et al.
Published: (2025)
by: Mahmoudi, Fatemeh, et al.
Published: (2025)
Counterfactual Density Estimation using Kernel Stein Discrepancies
by: Martinez-Taboada, Diego, et al.
Published: (2023)
by: Martinez-Taboada, Diego, et al.
Published: (2023)
Towards Semiparametric Bandwidth Selectors for Kernel Density Estimators
by: Hjort, Nils Lid
Published: (2026)
by: Hjort, Nils Lid
Published: (2026)
Quick and Simple Kernel Differential Equation Regression Estimators for Data with Sparse Design
by: Ge, Chunlei, et al.
Published: (2024)
by: Ge, Chunlei, et al.
Published: (2024)
Similar Items
-
Optimal and Structure-Adaptive CATE Estimation with Kernel Ridge Regression
by: Kim, Seok-Jin
Published: (2026) -
Transfer Learning of CATE with Kernel Ridge Regression
by: Kim, Seok-Jin, et al.
Published: (2025) -
HEDE: Heritability estimation in high dimensions by Ensembling Debiased Estimators
by: Song, Yanke, et al.
Published: (2024) -
Generalized Ridge Regression: Biased Estimation for Multiple Linear Regression Models
by: Gómez, Román Salmerón, et al.
Published: (2024) -
Robust Genomic Prediction and Heritability Estimation using Density Power Divergence
by: Chowdhury, Upama Paul, et al.
Published: (2024)