Adaptive Lasso, Transfer Lasso, and Beyond: An Asymptotic Perspective
Fuente:
arXiv
Saved in:
| Main Authors: | Takada, Masaaki, Fujisawa, Hironori |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Robust estimation with Lasso when outputs are adversarially contaminated
by: Sasai, Takeyuki, et al.
Published: (2020)
by: Sasai, Takeyuki, et al.
Published: (2020)
Lasso Penalization for High-Dimensional Beta Regression Models: Computation, Analysis, and Inference
by: Ramezani, Niloofar, et al.
Published: (2025)
by: Ramezani, Niloofar, et al.
Published: (2025)
Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection
by: Liu, Jingbo
Published: (2024)
by: Liu, Jingbo
Published: (2024)
Uniform Asymptotics and Confidence Regions Based on the Adaptive Lasso with Partially Consistent Tuning
by: Amann, Nicolai, et al.
Published: (2018)
by: Amann, Nicolai, et al.
Published: (2018)
Prediction Suboptimality of the Lasso in Sparse Linear Regression
by: Liu, Guo
Published: (2026)
by: Liu, Guo
Published: (2026)
Simulation-calibration testing for inference in Lasso regressions
by: Pluntz, Matthieu, et al.
Published: (2024)
by: Pluntz, Matthieu, et al.
Published: (2024)
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)
Bayesian Analysis for Over-parameterized Linear Model via Effective Spectra
by: Wakayama, Tomoya, et al.
Published: (2023)
by: Wakayama, Tomoya, et al.
Published: (2023)
Finite-Sample Inference for Sparsely Permuted Linear Regression
by: Ota, Hirofumi, et al.
Published: (2026)
by: Ota, Hirofumi, et al.
Published: (2026)
Design-based theory for Lasso adjustment in randomized block experiments and rerandomized experiments
by: Zhu, Ke, et al.
Published: (2021)
by: Zhu, Ke, et al.
Published: (2021)
On Consistency of Signature Using Lasso
by: Guo, Xin, et al.
Published: (2023)
by: Guo, Xin, et al.
Published: (2023)
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)
Accept-Reject Lasso
by: Liu, Yanxin, et al.
Published: (2025)
by: Liu, Yanxin, et al.
Published: (2025)
Minimax Optimal Estimation of Transport-Growth Pairs in Unbalanced Optimal Transport
by: Ponnoprat, Donlapark, et al.
Published: (2026)
by: Ponnoprat, Donlapark, et al.
Published: (2026)
Multi-Environment GLAMP: Approximate Message Passing for Transfer Learning with Applications to Lasso-based Estimators
by: Wang, Longlin, et al.
Published: (2025)
by: Wang, Longlin, et al.
Published: (2025)
Lasso and Partially-Rotated Designs
by: Buhai, Rares-Darius
Published: (2025)
by: Buhai, Rares-Darius
Published: (2025)
Asymptotic Behavior of Adversarial Training Estimator under $\ell_\infty$-Perturbation
by: Xie, Yiling, et al.
Published: (2024)
by: Xie, Yiling, et al.
Published: (2024)
Learning Survival Models with Right-Censored Reporting Delays
by: Shikuri, Yuta, et al.
Published: (2025)
by: Shikuri, Yuta, et al.
Published: (2025)
A Stable Lasso
by: Nouraie, Mahdi, et al.
Published: (2025)
by: Nouraie, Mahdi, et al.
Published: (2025)
Unified Inference Framework for Single and Multi-Player Performative Prediction: Method and Asymptotic Optimality
by: Zhang, Zhixian, et al.
Published: (2026)
by: Zhang, Zhixian, et al.
Published: (2026)
Optimal Nuisance Function Tuning for Estimating a Doubly Robust Functional under Proportional Asymptotics
by: McGrath, Sean, et al.
Published: (2025)
by: McGrath, Sean, et al.
Published: (2025)
Transfer Learning for Causal Effect Estimation
by: Wei, Song, et al.
Published: (2023)
by: Wei, Song, et al.
Published: (2023)
Transfer Learning for Nonparametric Contextual Dynamic Pricing
by: Wang, Fan, et al.
Published: (2025)
by: Wang, Fan, et al.
Published: (2025)
Marked point processes intensity estimation using sparse group Lasso method applied to locations of lucrative and cooperative banks in mainland France
by: Artis, Amélie, et al.
Published: (2025)
by: Artis, Amélie, et al.
Published: (2025)
Transfer Learning for High-dimensional Quantile Regression with Distribution Shift
by: Bai, Ruiqi, et al.
Published: (2024)
by: Bai, Ruiqi, et al.
Published: (2024)
Adaptive conformal classification with noisy labels
by: Sesia, Matteo, et al.
Published: (2023)
by: Sesia, Matteo, et al.
Published: (2023)
Structural Foundations for Leading Digit Laws: Beyond Probabilistic Mixtures
by: Berman, Vladimir
Published: (2025)
by: Berman, Vladimir
Published: (2025)
A cost-sensitive constrained Lasso
by: Blanquero, Rafael, et al.
Published: (2024)
by: Blanquero, Rafael, et al.
Published: (2024)
Robust Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models
by: Tian, Ye, et al.
Published: (2022)
by: Tian, Ye, et al.
Published: (2022)
Double Cross-fit Doubly Robust Estimators: Beyond Series Regression
by: McClean, Alec, et al.
Published: (2024)
by: McClean, Alec, et al.
Published: (2024)
Inference on Variable Importance for Treatment Effect Heterogeneity: Shapley Values and Beyond
by: Morzywolek, Pawel, et al.
Published: (2025)
by: Morzywolek, Pawel, et al.
Published: (2025)
Adaptively-weighted Nearest Neighbors for Matrix Completion
by: Sadhukhan, Tathagata, et al.
Published: (2025)
by: Sadhukhan, Tathagata, et al.
Published: (2025)
Adaptive Split Balancing for Optimal Random Forest
by: Zhang, Yuqian, et al.
Published: (2024)
by: Zhang, Yuqian, et al.
Published: (2024)
Transfer Learning with Distance Covariance for Random Forest: Error Bounds and an EHR Application
by: Li, Chenze, et al.
Published: (2025)
by: Li, Chenze, et al.
Published: (2025)
Early-stopped aggregation: Adaptive inference with computational efficiency
by: Ohn, Ilsang, et al.
Published: (2026)
by: Ohn, Ilsang, et al.
Published: (2026)
Stronger Neyman Regret Guarantees for Adaptive Experimental Design
by: Noarov, Georgy, et al.
Published: (2025)
by: Noarov, Georgy, et al.
Published: (2025)
Adaptive finite element type decomposition of Gaussian processes
by: Kim, Jaehoan, et al.
Published: (2025)
by: Kim, Jaehoan, et al.
Published: (2025)
Statistical Inference under Adaptive Sampling with LinUCB
by: Fan, Wei, et al.
Published: (2025)
by: Fan, Wei, et al.
Published: (2025)
Efficient Inference after Directionally Stable Adaptive Experiments
by: Shen, Zikai, et al.
Published: (2026)
by: Shen, Zikai, et al.
Published: (2026)
Similar Items
-
Robust estimation with Lasso when outputs are adversarially contaminated
by: Sasai, Takeyuki, et al.
Published: (2020) -
Lasso Penalization for High-Dimensional Beta Regression Models: Computation, Analysis, and Inference
by: Ramezani, Niloofar, et al.
Published: (2025) -
Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection
by: Liu, Jingbo
Published: (2024) -
Uniform Asymptotics and Confidence Regions Based on the Adaptive Lasso with Partially Consistent Tuning
by: Amann, Nicolai, et al.
Published: (2018) -
Prediction Suboptimality of the Lasso in Sparse Linear Regression
by: Liu, Guo
Published: (2026)