Fast Debiasing of the LASSO Estimator
Fuente:
arXiv
Saved in:
| Main Authors: | Banerjee, Shuvayan, Saunderson, James, Srivastava, Radhendushka, Rajwade, Ajit |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Robust Non-adaptive Group Testing under Errors in Group Membership Specifications
by: Banerjee, Shuvayan, et al.
Published: (2024)
by: Banerjee, Shuvayan, et al.
Published: (2024)
Correction of Pooling Matrix Mis-specifications in Compressed Sensing Based Group Testing
by: Banerjee, Shuvayan, et al.
Published: (2026)
by: Banerjee, Shuvayan, et al.
Published: (2026)
Verifiable Deep Quantitative Group Testing
by: Grampurohit, Shreyas Jayant, et al.
Published: (2025)
by: Grampurohit, Shreyas Jayant, et al.
Published: (2025)
Quasi-Periodic Gaussian Process Predictive Iterative Learning Control
by: Nigam, Unnati, et al.
Published: (2026)
by: Nigam, Unnati, et al.
Published: (2026)
The Post Double LASSO for Efficiency Analysis
by: Parmeter, Christopher, et al.
Published: (2025)
by: Parmeter, Christopher, et al.
Published: (2025)
On LASSO for High Dimensional Predictive Regression
by: Mei, Ziwei, et al.
Published: (2022)
by: Mei, Ziwei, et al.
Published: (2022)
SD-KDE: Score-Debiased Kernel Density Estimation
by: Epstein, Elliot L., et al.
Published: (2025)
by: Epstein, Elliot L., et al.
Published: (2025)
MARS via LASSO
by: Ki, Dohyeong, et al.
Published: (2021)
by: Ki, Dohyeong, et al.
Published: (2021)
Kernel Debiased Plug-in Estimation: Simultaneous, Automated Debiasing without Influence Functions for Many Target Parameters
by: Cho, Brian, et al.
Published: (2023)
by: Cho, Brian, et al.
Published: (2023)
LASSO Inference for High Dimensional Predictive Regressions
by: Gao, Zhan, et al.
Published: (2024)
by: Gao, Zhan, et al.
Published: (2024)
Deep Doubly Debiased Longitudinal Effect Estimation with ICE G-Computation
by: Chen, Wenxin, et al.
Published: (2026)
by: Chen, Wenxin, et al.
Published: (2026)
Debiased Ill-Posed Regression
by: Ghassami, AmirEmad, et al.
Published: (2025)
by: Ghassami, AmirEmad, et al.
Published: (2025)
A PLS-Integrated LASSO Method with Application in Index Tracking
by: Tang, Shiqin, et al.
Published: (2025)
by: Tang, Shiqin, et al.
Published: (2025)
Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applications
by: Agarwal, Ankita, et al.
Published: (2024)
by: Agarwal, Ankita, et al.
Published: (2024)
Debiasing Random Oblique Projections for Subsampled OLS and Fast CUR in High Dimensions
by: Niu, Chengmei, et al.
Published: (2026)
by: Niu, Chengmei, et al.
Published: (2026)
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics
by: Zhang, Xinyu, et al.
Published: (2024)
by: Zhang, Xinyu, et al.
Published: (2024)
Privacy-Accuracy Trade-offs in High-Dimensional LASSO under Perturbation Mechanisms
by: Sakata, Ayaka, et al.
Published: (2026)
by: Sakata, Ayaka, et al.
Published: (2026)
Double Debiased Covariate Shift Adaptation Robust to Density-Ratio Estimation
by: Kato, Masahiro, et al.
Published: (2023)
by: Kato, Masahiro, et al.
Published: (2023)
Kernel Debiased Plug-in Estimation based on the Universal Least Favorable Submodel
by: Chen, Haiyi, et al.
Published: (2026)
by: Chen, Haiyi, et al.
Published: (2026)
A semi-parametric model for assessing the effect of temperature on ice accumulation rate from Antarctic ice core data
by: Srivastava, Radhendushka, et al.
Published: (2023)
by: Srivastava, Radhendushka, et al.
Published: (2023)
LASSO-MOGAT: A Multi-Omics Graph Attention Framework for Cancer Classification
by: Alharbi, Fadi, et al.
Published: (2024)
by: Alharbi, Fadi, et al.
Published: (2024)
A Pathwise Coordinate Descent Algorithm for LASSO Penalized Quantile Regression
by: Kim, Sanghee, et al.
Published: (2025)
by: Kim, Sanghee, et al.
Published: (2025)
Debiased Regression for Root-N-Consistent Conditional Mean Estimation
by: Kato, Masahiro
Published: (2024)
by: Kato, Masahiro
Published: (2024)
Macroeconomic Predictions using Payments Data and Machine Learning
by: Chapman, James T. E., et al.
Published: (2022)
by: Chapman, James T. E., et al.
Published: (2022)
Stabilizing Private LASSO under Heterogeneous Covariates via Anisotropic Objective Perturbation
by: Tanzawa, Haruka, et al.
Published: (2026)
by: Tanzawa, Haruka, et al.
Published: (2026)
Adversarial Debiasing for Unbiased Parameter Recovery
by: Sanford, Luke C, et al.
Published: (2025)
by: Sanford, Luke C, et al.
Published: (2025)
Debiased neural operators for estimating functionals
by: Hess, Konstantin, et al.
Published: (2026)
by: Hess, Konstantin, et al.
Published: (2026)
Debiased Distribution Compression
by: Li, Lingxiao, et al.
Published: (2024)
by: Li, Lingxiao, et al.
Published: (2024)
Causality-aware Graph Aggregation Weight Estimator for Popularity Debiasing in Top-K Recommendation
by: Que, Yue, et al.
Published: (2025)
by: Que, Yue, et al.
Published: (2025)
Debiased Front-Door Learners for Heterogeneous Effects
by: Jung, Yonghan
Published: (2025)
by: Jung, Yonghan
Published: (2025)
Debiased Recommendation with Noisy Feedback
by: Li, Haoxuan, et al.
Published: (2024)
by: Li, Haoxuan, et al.
Published: (2024)
Double/Debiased Machine Learning for Treatment and Causal Parameters
by: Chernozhukov, Victor, et al.
Published: (2016)
by: Chernozhukov, Victor, et al.
Published: (2016)
Spectral Predictability as a Fast Reliability Indicator for Time Series Forecasting Model Selection
by: Wang, Oliver, et al.
Published: (2025)
by: Wang, Oliver, et al.
Published: (2025)
Controlled Model Debiasing through Minimal and Interpretable Updates
by: Di Gennaro, Federico, et al.
Published: (2025)
by: Di Gennaro, Federico, et al.
Published: (2025)
Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo
by: Lee, Cheuk Kit, et al.
Published: (2025)
by: Lee, Cheuk Kit, et al.
Published: (2025)
Adaptive Bounded Exploration and Intermediate Actions for Data Debiasing
by: Yang, Yifan, et al.
Published: (2025)
by: Yang, Yifan, et al.
Published: (2025)
Sebra: Debiasing Through Self-Guided Bias Ranking
by: Kappiyath, Adarsh, et al.
Published: (2025)
by: Kappiyath, Adarsh, et al.
Published: (2025)
Graph Continual Learning with Debiased Lossless Memory Replay
by: Niu, Chaoxi, et al.
Published: (2024)
by: Niu, Chaoxi, et al.
Published: (2024)
Debiasing Mini-Batch Quadratics for Applications in Deep Learning
by: Tatzel, Lukas, et al.
Published: (2024)
by: Tatzel, Lukas, et al.
Published: (2024)
Debiasing Synthetic Data Generated by Deep Generative Models
by: Decruyenaere, Alexander, et al.
Published: (2024)
by: Decruyenaere, Alexander, et al.
Published: (2024)
Similar Items
-
Robust Non-adaptive Group Testing under Errors in Group Membership Specifications
by: Banerjee, Shuvayan, et al.
Published: (2024) -
Correction of Pooling Matrix Mis-specifications in Compressed Sensing Based Group Testing
by: Banerjee, Shuvayan, et al.
Published: (2026) -
Verifiable Deep Quantitative Group Testing
by: Grampurohit, Shreyas Jayant, et al.
Published: (2025) -
Quasi-Periodic Gaussian Process Predictive Iterative Learning Control
by: Nigam, Unnati, et al.
Published: (2026) -
The Post Double LASSO for Efficiency Analysis
by: Parmeter, Christopher, et al.
Published: (2025)