Cover Image

Online Sparse Regression with Expanding Observables

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Ying, Yao, Fang
Format:	Preprint
Published:	2026
Subjects:	Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deep Regression for Repeated Measurements
by: Yan, Shunxing, et al.
Published: (2023)

Online Quantile Regression
by: Shen, Yinan, et al.
Published: (2024)

Sparse Max-Affine Regression
by: Kanj, Haitham, et al.
Published: (2024)

Prediction Suboptimality of the Lasso in Sparse Linear Regression
by: Liu, Guo
Published: (2026)

On Ridge Estimation in High-dimensional Rotationally Sparse Linear Regression
by: Liang, Libin, et al.
Published: (2024)

Sparse Linear Regression: Sequential Convex Relaxation, Robust Restricted Null Space Property, and Variable Selection
by: Bi, Shujun, et al.
Published: (2024)

Iterative Reweighted Framework Based Algorithms for Sparse Linear Regression with Generalized Elastic Net Penalty
by: Ding, Yanyun, et al.
Published: (2024)

Support Recovery and $\ell_2$-Error Bound for Sparse Regression with Quadratic Measurements via Weakly-Convex-Concave Regularization
by: Fan, Jun, et al.
Published: (2026)

Bayesian High-dimensional Linear Regression with Sparse Projection-posterior
by: Pal, Samhita, et al.
Published: (2024)

On Robust Empirical Likelihood for Nonparametric Regression with Application to Regression Discontinuity Designs
by: Fang, Qin, et al.
Published: (2025)

Spatially Randomized Designs Can Enhance Policy Evaluation
by: Yang, Ying, et al.
Published: (2024)

A Sparse Beta Regression Model for Network Analysis
by: Stein, Stefan, et al.
Published: (2020)

Sparse Data-Driven Random Projection in Regression for High-Dimensional Data
by: Parzer, Roman, et al.
Published: (2023)

Decentralized Sparse Linear Regression via Gradient-Tracking: Linear Convergence and Statistical Guarantees
by: Maros, Marie, et al.
Published: (2022)

Online Quantile Regression for Nonparametric Additive Models
by: Zhan, Haoran
Published: (2026)

Online and Offline Robust Multivariate Linear Regression
by: Godichon-Baggioni, Antoine, et al.
Published: (2024)

Provably Efficient Posterior Sampling for Sparse Linear Regression via Measure Decomposition
by: Montanari, Andrea, et al.
Published: (2024)

Nodewise Loreg: Nodewise $L_0$-penalized Regression for High-dimensional Sparse Precision Matrix Estimation
by: Shu, Hai, et al.
Published: (2024)

A Fast Coordinate Descent Method for High-Dimensional Non-Negative Least Squares using a Unified Sparse Regression Framework
by: Yang, James, et al.
Published: (2024)

Bayesian Sparse Gaussian Mixture Model in High Dimensions
by: Yao, Dapeng, et al.
Published: (2022)

Minimax-optimal and Locally-adaptive Online Nonparametric Regression
by: Liautaud, Paul, et al.
Published: (2024)

Finite-Sample Inference for Sparsely Permuted Linear Regression
by: Ota, Hirofumi, et al.
Published: (2026)

Minimax Adaptive Online Nonparametric Regression over Besov Spaces
by: Liautaud, Paul, et al.
Published: (2025)

A Two-Step Projection-Based Goodness-of-Fit Test for Ultra-High Dimensional Sparse Regressions
by: Tan, Falong, et al.
Published: (2024)

Minimax Optimal Rates for Regression on Manifolds and Distributions
by: Tang, Rong, et al.
Published: (2025)

Sparse free deconvolution under unknown noise level via eigenmatrix
by: Ying, Lexing
Published: (2025)

An Easily Tunable Approach to Robust and Sparse High-Dimensional Linear Regression
by: Sasai, Takeyuki, et al.
Published: (2025)

Finite-Time Observability of Oscillatory Instabilities in Synchronous p-bit Dynamics
by: Onizawa, Naoya, et al.
Published: (2026)

Sparse Linear Regression is Easy on Random Supports
by: Chandrasekaran, Gautam, et al.
Published: (2025)

Computational-Statistical Gaps for Improper Learning in Sparse Linear Regression
by: Buhai, Rares-Darius, et al.
Published: (2024)

Statistical Inference for High-Dimensional Robust Linear Regression Models via Recursive Online-Score Estimation
by: Zheng, Dian, et al.
Published: (2025)

Sparse Factor Analysis for Categorical Data with the Group-Sparse Generalized Singular Value Decomposition
by: Yu, Ju-Chi, et al.
Published: (2024)

Observable Geometry of Singular Statistical Models
by: Plummer, Sean
Published: (2026)

Thermodynamic limit under Partial Observability
by: Sudo, Akihito
Published: (2021)

Statistical Inference for Gradient Boosting Regression
by: Fang, Haimo, et al.
Published: (2025)

Strong Consistency of the SIMEX Estimator in Linear Regression with a Conditionally Poisson Covariate
by: Yang, Aijun, et al.
Published: (2025)

Kernel Ridge Regression with Predicted Feature Inputs and Applications to Factor-Based Nonparametric Regression
by: Bing, Xin, et al.
Published: (2025)

Regularized Nonlinear Regression with Dependent Errors and its Application to a Biomechanical Model
by: You, Hojun, et al.
Published: (2022)

Theory of functional principal component analysis for discretely observed data
by: Zhou, Hang, et al.
Published: (2022)

Semiparametric M-estimation with overparameterized neural networks
by: Yan, Shunxing, et al.
Published: (2025)