Lassoed Forests: Random Forests with Adaptive Lasso Post-selection
Fuente:
arXiv
Saved in:
| Main Authors: | Shang, Jing, Bannon, James, Haibe-Kains, Benjamin, Tibshirani, Robert |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adaptive Lasso, Transfer Lasso, and Beyond: An Asymptotic Perspective
by: Takada, Masaaki, et al.
Published: (2023)
by: Takada, Masaaki, et al.
Published: (2023)
CCLE PSet
by: Haibe-Kains, Benjamin
Published: (2025)
by: Haibe-Kains, Benjamin
Published: (2025)
A Fast Method for Lasso and Logistic Lasso
by: Cheng, Siu-Wing, et al.
Published: (2024)
by: Cheng, Siu-Wing, et al.
Published: (2024)
Proximal Iteration for Nonlinear Adaptive Lasso
by: Wycoff, Nathan, et al.
Published: (2024)
by: Wycoff, Nathan, et al.
Published: (2024)
LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and Regularization
by: Zhang, Erica, et al.
Published: (2025)
by: Zhang, Erica, et al.
Published: (2025)
GEOM
by: Haibe-Kains, Benjamin, et al.
Published: (2026)
by: Haibe-Kains, Benjamin, et al.
Published: (2026)
GEOM
by: Haibe-Kains, Benjamin, et al.
Published: (2026)
by: Haibe-Kains, Benjamin, et al.
Published: (2026)
The Adaptive $τ$-Lasso: Robustness and Oracle Properties
by: Mozafari-Majd, Emadaldin, et al.
Published: (2023)
by: Mozafari-Majd, Emadaldin, et al.
Published: (2023)
Accept-Reject Lasso
by: Liu, Yanxin, et al.
Published: (2025)
by: Liu, Yanxin, et al.
Published: (2025)
Autotune: fast, accurate, and automatic tuning parameter selection for Lasso
by: Sadhukhan, Tathagata, et al.
Published: (2025)
by: Sadhukhan, Tathagata, et al.
Published: (2025)
A Stable Lasso
by: Nouraie, Mahdi, et al.
Published: (2025)
by: Nouraie, Mahdi, et al.
Published: (2025)
Xeva_Tsao
by: Feng, Guanqiao, et al.
Published: (2025)
by: Feng, Guanqiao, et al.
Published: (2025)
Spacing Test for Fused Lasso
by: Tasaka, Rieko, et al.
Published: (2025)
by: Tasaka, Rieko, et al.
Published: (2025)
On the design-dependent suboptimality of the Lasso
by: Pathak, Reese, et al.
Published: (2024)
by: Pathak, Reese, et al.
Published: (2024)
Dual Feature Reduction for the Sparse-group Lasso and its Adaptive Variant
by: Feser, Fabio, et al.
Published: (2024)
by: Feser, Fabio, et al.
Published: (2024)
Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction
by: Yue, Yun, et al.
Published: (2021)
by: Yue, Yun, et al.
Published: (2021)
On Consistency of Signature Using Lasso
by: Guo, Xin, et al.
Published: (2023)
by: Guo, Xin, et al.
Published: (2023)
A cost-sensitive constrained Lasso
by: Blanquero, Rafael, et al.
Published: (2024)
by: Blanquero, Rafael, et al.
Published: (2024)
Estimation in high-dimensional linear regression: Post-Double-Autometrics as an alternative to Post-Double-Lasso
by: Hué, Sullivan, et al.
Published: (2025)
by: Hué, Sullivan, et al.
Published: (2025)
Quantum Algorithms for the Pathwise Lasso
by: Doriguello, Joao F., et al.
Published: (2023)
by: Doriguello, Joao F., et al.
Published: (2023)
Lasso Bandit with Compatibility Condition on Optimal Arm
by: Lee, Harin, et al.
Published: (2024)
by: Lee, Harin, et al.
Published: (2024)
Lasso and Partially-Rotated Designs
by: Buhai, Rares-Darius
Published: (2025)
by: Buhai, Rares-Darius
Published: (2025)
An Alternative Graphical Lasso Algorithm for Precision Matrices
by: Dallakyan, Aramayis, et al.
Published: (2024)
by: Dallakyan, Aramayis, et al.
Published: (2024)
The Contextual Lasso: Sparse Linear Models via Deep Neural Networks
by: Thompson, Ryan, et al.
Published: (2023)
by: Thompson, Ryan, et al.
Published: (2023)
Decentralised Traffic Incident Detection via Network Lasso
by: Zhu, Qiyuan, et al.
Published: (2024)
by: Zhu, Qiyuan, et al.
Published: (2024)
Integrate Any Omics: Towards genome-wide data integration for patient stratification
by: Ma, Shihao, et al.
Published: (2024)
by: Ma, Shihao, et al.
Published: (2024)
Majorization-Minimization Dual Stagewise Algorithm for Generalized Lasso
by: Chen, Jianmin, et al.
Published: (2025)
by: Chen, Jianmin, et al.
Published: (2025)
SMART Fine-tuning Factor Augmented Neural Lasso
by: Chai, Jinhang, et al.
Published: (2026)
by: Chai, Jinhang, et al.
Published: (2026)
High Dimensional Bayesian Optimization using Lasso Variable Selection
by: Hoang, Vu Viet, et al.
Published: (2025)
by: Hoang, Vu Viet, et al.
Published: (2025)
LassoFlexNet: Flexible Neural Architecture for Tabular Data
by: Lui, Kry Yik Chau, et al.
Published: (2026)
by: Lui, Kry Yik Chau, et al.
Published: (2026)
Robust estimation with Lasso when outputs are adversarially contaminated
by: Sasai, Takeyuki, et al.
Published: (2020)
by: Sasai, Takeyuki, et al.
Published: (2020)
Implicit Differentiation for Hyperparameter Tuning the Weighted Graphical Lasso
by: Pouliquen, Can, et al.
Published: (2023)
by: Pouliquen, Can, et al.
Published: (2023)
Pre-validation Revisited
by: Shang, Jing, et al.
Published: (2025)
by: Shang, Jing, et al.
Published: (2025)
Pretraining and the Lasso
by: Craig, Erin, et al.
Published: (2024)
by: Craig, Erin, et al.
Published: (2024)
Random Forest Calibration
by: Shaker, Mohammad Hossein, et al.
Published: (2025)
by: Shaker, Mohammad Hossein, et al.
Published: (2025)
Heterogeneous Random Forest
by: Kim, Ye-eun, et al.
Published: (2024)
by: Kim, Ye-eun, et al.
Published: (2024)
Evaluation and Optimization of Leave-one-out Cross-validation for the Lasso
by: Burn, Ryan
Published: (2025)
by: Burn, Ryan
Published: (2025)
Look-Ahead Screening Rules for the Lasso
by: Larsson, Johan
Published: (2021)
by: Larsson, Johan
Published: (2021)
Adaptive Split Balancing for Optimal Random Forest
by: Zhang, Yuqian, et al.
Published: (2024)
by: Zhang, Yuqian, et al.
Published: (2024)
Time-to-event prediction for grouped variables using Exclusive Lasso
by: Ravi, Dayasri, et al.
Published: (2025)
by: Ravi, Dayasri, et al.
Published: (2025)
Similar Items
-
Adaptive Lasso, Transfer Lasso, and Beyond: An Asymptotic Perspective
by: Takada, Masaaki, et al.
Published: (2023) -
CCLE PSet
by: Haibe-Kains, Benjamin
Published: (2025) -
A Fast Method for Lasso and Logistic Lasso
by: Cheng, Siu-Wing, et al.
Published: (2024) -
Proximal Iteration for Nonlinear Adaptive Lasso
by: Wycoff, Nathan, et al.
Published: (2024) -
LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and Regularization
by: Zhang, Erica, et al.
Published: (2025)