Cover Image

A Note on Estimation Error Bound and Grouping Effect of Transfer Elastic Net

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Tomo, Yui
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Median Consensus Embedding for Dimensionality Reduction
by: Tomo, Yui, et al.
Published: (2025)

Sparse Domain Transfer via Elastic Net Regularization
by: Zhang, Jingwei, et al.
Published: (2024)

Robust Variable Selection and Estimation Via Adaptive Elastic Net S-Estimators for Linear Regression
by: Kepplinger, David
Published: (2021)

The Informed Elastic Net for Fast Grouped Variable Selection and FDR Control in Genomics Research
by: Machkour, Jasin, et al.
Published: (2024)

Error Bounds for a Diffusion Model-Based Drift Estimator
by: Casado-Telletxea, Ioar, et al.
Published: (2026)

Expectation Error Bounds for Transfer Learning in Linear Regression and Linear Neural Networks
by: Liu, Meitong, et al.
Published: (2026)

Bridging Neural ODE and ResNet: A Formal Error Bound for Safety Verification
by: Sayed, Abdelrahman Sayed, et al.
Published: (2025)

Provably tuning the ElasticNet across instances
by: Balcan, Maria-Florina, et al.
Published: (2022)

Heteroscedastic Double Bayesian Elastic Net
by: Kimura, Masanari
Published: (2025)

Elastic Representation: Mitigating Spurious Correlations for Group Robustness
by: Wen, Tao, et al.
Published: (2025)

Transfer Learning with Distance Covariance for Random Forest: Error Bounds and an EHR Application
by: Li, Chenze, et al.
Published: (2025)

Error Bounds for Flow Matching Methods
by: Benton, Joe, et al.
Published: (2023)

Classification Error Bound for Low Bayes Error Conditions in Machine Learning
by: Yang, Zijian, et al.
Published: (2025)

A Relative Error-Based Evaluation Framework of Heterogeneous Treatment Effect Estimators
by: Guo, Jiayi, et al.
Published: (2025)

A Neural Network Algorithm for KL Divergence Estimation with Quantitative Error Bounds
by: Foss, Mikil, et al.
Published: (2025)

Elastic-Net Multiple Kernel Learning: Combining Multiple Data Sources for Prediction
by: Mourão-Miranda, Janaina, et al.
Published: (2025)

Finite-Time Error Bounds for Greedy-GQ
by: Wang, Yue, et al.
Published: (2022)

The Exploration of Error Bounds in Classification with Noisy Labels
by: Liu, Haixia, et al.
Published: (2025)

Analyzing Error Sources in Global Feature Effect Estimation
by: Heiß, Timo, et al.
Published: (2026)

A Fast and Scalable Pathwise-Solver for Group Lasso and Elastic Net Penalized Regression via Block-Coordinate Descent
by: Yang, James, et al.
Published: (2024)

PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect
by: Nagalapatti, Lokesh, et al.
Published: (2024)

Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation
by: Brown, Gavin, et al.
Published: (2024)

HAVER: Instance-Dependent Error Bounds for Maximum Mean Estimation and Applications to Q-Learning and Monte Carlo Tree Search
by: Nguyen, Tuan Ngo, et al.
Published: (2024)

Generalization Error Bounds for Learning under Censored Feedback
by: Yang, Yifan, et al.
Published: (2024)

Statistical Error Bounds for GANs with Nonlinear Objective Functionals
by: Birrell, Jeremiah
Published: (2024)

Efficient Distribution Learning with Error Bounds in Wasserstein Distance
by: Figueiredo, Eduardo, et al.
Published: (2026)

Transfer Learning for Causal Effect Estimation
by: Wei, Song, et al.
Published: (2023)

Renet: Principled and Efficient Relaxation for the Elastic Net via Dynamic Objective Selection
by: Dorador, Albert
Published: (2026)

The Hidden Width of Deep ResNets: Tight Error Bounds and Phase Diagram
by: Chizat, Lénaïc
Published: (2025)

Error Bounds For Gaussian Process Regression Under Bounded Support Noise With Applications To Safety Certification
by: Reed, Robert, et al.
Published: (2024)

A Note On Deterministic Submodular Maximization With Bounded Curvature
by: Li, Wenxin
Published: (2024)

Bounding the Worst-class Error: A Boosting Approach
by: Saito, Yuya, et al.
Published: (2023)

A General Constructive Upper Bound on Shallow Neural Nets Complexity
by: Hakl, Frantisek, et al.
Published: (2025)

Learnability of Parameter-Bounded Bayes Nets
by: Bhattacharyya, Arnab, et al.
Published: (2024)

Approximation Error Upper and Lower Bounds for Hölder Class with Transformers
by: He, Xin, et al.
Published: (2026)

Leveraging Error Diversity in Group Rollouts for Reinforcement Learning
by: Liu, Wenpu, et al.
Published: (2026)

Generalized Resubstitution for Regression Error Estimation
by: Marcondes, Diego, et al.
Published: (2024)

Prediction Error Estimation in Random Forests
by: Krupkin, Ian, et al.
Published: (2023)

Deep Transfer Learning: Model Framework and Error Analysis
by: Jiao, Yuling, et al.
Published: (2024)

Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation
by: Melnychuk, Valentyn, et al.
Published: (2023)