Saved in:
| Main Authors: | Wang, Siyu, Yao, Kehui |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.23147 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A New Forward Discriminant Analysis Framework Based On Pillai's Trace and ULDA
by: Wang, Siyu, et al.
Published: (2024)
by: Wang, Siyu, et al.
Published: (2024)
Optimizing High-Dimensional Oblique Splits
by: Chi, Chien-Ming
Published: (2025)
by: Chi, Chien-Ming
Published: (2025)
Node Splitting SVMs for Survival Trees Based on an L2-Regularized Dipole Splitting Criteria
by: Maung, Aye Aye, et al.
Published: (2025)
by: Maung, Aye Aye, et al.
Published: (2025)
SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules
by: Lamprinakou, Stamatina, et al.
Published: (2025)
by: Lamprinakou, Stamatina, et al.
Published: (2025)
Causally-Aware Unsupervised Feature Selection Learning
by: Shen, Zongxin, et al.
Published: (2024)
by: Shen, Zongxin, et al.
Published: (2024)
LOCO Feature Importance Inference without Data Splitting via Minipatch Ensembles
by: Gan, Luqin, et al.
Published: (2022)
by: Gan, Luqin, et al.
Published: (2022)
Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data
by: Chen, Jianmin, et al.
Published: (2022)
by: Chen, Jianmin, et al.
Published: (2022)
LLM Sparsity Prior for Robust Feature Selection
by: Skinner, Caleb, et al.
Published: (2026)
by: Skinner, Caleb, et al.
Published: (2026)
On Prediction Feature Assignment in the Heckman Selection Model
by: Mai, Huy, et al.
Published: (2023)
by: Mai, Huy, et al.
Published: (2023)
2D Stability Selection: Design Jittering for Doubly Stable Feature Selection
by: Nouraie, Mahdi, et al.
Published: (2026)
by: Nouraie, Mahdi, et al.
Published: (2026)
Fit CATE Once: Model-Assisted Randomization Tests Without Sample Splitting
by: Zheng, Fangnan, et al.
Published: (2026)
by: Zheng, Fangnan, et al.
Published: (2026)
FAStEN: An Efficient Adaptive Method for Feature Selection and Estimation in High-Dimensional Functional Regressions
by: Boschi, Tobia, et al.
Published: (2023)
by: Boschi, Tobia, et al.
Published: (2023)
i-IF-Learn: Iterative Feature Selection and Unsupervised Learning for High-Dimensional Complex Data
by: Ma, Chen, et al.
Published: (2026)
by: Ma, Chen, et al.
Published: (2026)
Local MDI+: Local Feature Importances for Tree-Based Models
by: Liang, Zhongyuan, et al.
Published: (2025)
by: Liang, Zhongyuan, et al.
Published: (2025)
Optimizing Feature Selection in Causal Inference: A Three-Stage Computational Framework for Unbiased Estimation
by: Yang, Tianyu, et al.
Published: (2025)
by: Yang, Tianyu, et al.
Published: (2025)
Robust Learning Rate Selection for Stochastic Optimization via Splitting Diagnostic
by: Sordello, Matteo, et al.
Published: (2019)
by: Sordello, Matteo, et al.
Published: (2019)
Global Censored Quantile Random Forest
by: Zhou, Siyu, et al.
Published: (2024)
by: Zhou, Siyu, et al.
Published: (2024)
Comparing Model-agnostic Feature Selection Methods through Relative Efficiency
by: Zheng, Chenghui, et al.
Published: (2025)
by: Zheng, Chenghui, et al.
Published: (2025)
Conformal Prediction Assessment: A Framework for Conditional Coverage Evaluation and Selection
by: Zhou, Zheng, et al.
Published: (2026)
by: Zhou, Zheng, et al.
Published: (2026)
When Is Generalized Bayes Bayesian? A Decision-Theoretic Characterization of Loss-Based Updating
by: McAlinn, Kenichiro, et al.
Published: (2026)
by: McAlinn, Kenichiro, et al.
Published: (2026)
An Interpretable and Efficient Infinite-Order Vector Autoregressive Model for High-Dimensional Time Series
by: Zheng, Yao
Published: (2022)
by: Zheng, Yao
Published: (2022)
Changepoint Detection As Model Selection: A General Framework
by: Grantham, Michael, et al.
Published: (2026)
by: Grantham, Michael, et al.
Published: (2026)
Estimating the Value of Evidence-Based Decision Making
by: Abadie, Alberto, et al.
Published: (2023)
by: Abadie, Alberto, et al.
Published: (2023)
Virtual Dummies: Enabling Scalable FDR-Controlled Variable Selection via Sequential Sampling of Null Features
by: Koka, Taulant, et al.
Published: (2026)
by: Koka, Taulant, et al.
Published: (2026)
Prediction Intervals for Individual Treatment Effects in a Multiple Decision Point Framework using Conformal Inference
by: Bose, Swaraj, et al.
Published: (2025)
by: Bose, Swaraj, et al.
Published: (2025)
SPARKLE: A Nonparametric Approach for Online Decision-Making with High-Dimensional Covariates
by: Wang, Wenjia, et al.
Published: (2025)
by: Wang, Wenjia, et al.
Published: (2025)
MAFS: Multi-head Attention Feature Selection for High-Dimensional Data via Deep Fusion of Filter Methods
by: Sun, Xiaoyan, et al.
Published: (2026)
by: Sun, Xiaoyan, et al.
Published: (2026)
Knowledge Distillation Decision Tree for Unravelling Black-box Machine Learning Models
by: Lu, Xuetao, et al.
Published: (2022)
by: Lu, Xuetao, et al.
Published: (2022)
Sample-Efficient "Clustering and Conquer" Procedures for Parallel Large-Scale Ranking and Selection
by: Zhang, Zishi, et al.
Published: (2024)
by: Zhang, Zishi, et al.
Published: (2024)
Renet: Principled and Efficient Relaxation for the Elastic Net via Dynamic Objective Selection
by: Dorador, Albert
Published: (2026)
by: Dorador, Albert
Published: (2026)
A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random
by: Ho, Binh H., et al.
Published: (2025)
by: Ho, Binh H., et al.
Published: (2025)
A Relative Ignorability Framework for Decision-Relevant Observability in Control Theory and Reinforcement Learning
by: Bleile, MaryLena, et al.
Published: (2025)
by: Bleile, MaryLena, et al.
Published: (2025)
Penalized Generative Variable Selection
by: Wang, Tong, et al.
Published: (2024)
by: Wang, Tong, et al.
Published: (2024)
Regression-Based Estimation of Causal Effects in the Presence of Selection Bias and Confounding
by: Hafer, Marlies, et al.
Published: (2025)
by: Hafer, Marlies, et al.
Published: (2025)
Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective
by: Feldman, Joseph, et al.
Published: (2023)
by: Feldman, Joseph, et al.
Published: (2023)
A Unified Hierarchical Multi-Task Multi-Fidelity Framework for Data-Efficient Surrogate Modeling in Manufacturing
by: Mehta, Manan, et al.
Published: (2026)
by: Mehta, Manan, et al.
Published: (2026)
Beyond Cross-Validation: Adaptive Parameter Selection for Kernel-Based Gradient Descents
by: Liu, Xiaotong, et al.
Published: (2026)
by: Liu, Xiaotong, et al.
Published: (2026)
Depth-Based Local Center Clustering: A Framework for Handling Different Clustering Scenarios
by: Wang, Siyi, et al.
Published: (2025)
by: Wang, Siyi, et al.
Published: (2025)
Nearly Optimal Subdata Selection
by: Yang, Min, et al.
Published: (2026)
by: Yang, Min, et al.
Published: (2026)
Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions
by: Lekeufack, Jordan, et al.
Published: (2023)
by: Lekeufack, Jordan, et al.
Published: (2023)
Similar Items
-
A New Forward Discriminant Analysis Framework Based On Pillai's Trace and ULDA
by: Wang, Siyu, et al.
Published: (2024) -
Optimizing High-Dimensional Oblique Splits
by: Chi, Chien-Ming
Published: (2025) -
Node Splitting SVMs for Survival Trees Based on an L2-Regularized Dipole Splitting Criteria
by: Maung, Aye Aye, et al.
Published: (2025) -
SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules
by: Lamprinakou, Stamatina, et al.
Published: (2025) -
Causally-Aware Unsupervised Feature Selection Learning
by: Shen, Zongxin, et al.
Published: (2024)