Algebraic and Statistical Properties of the Ordinary Least Squares Interpolator
Fuente:
arXiv
Saved in:
| Main Authors: | Shen, Dennis, Song, Dogyoon, Ding, Peng, Sekhon, Jasjeet S. |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Algebraic and Statistical Properties of the Partially Regularized Ordinary Least Squares Interpolator
by: Yang, Letian, et al.
Published: (2024)
by: Yang, Letian, et al.
Published: (2024)
Inference in Randomized Least Squares and PCA via Normality of Quadratic Forms
by: Wang, Leda, et al.
Published: (2024)
by: Wang, Leda, et al.
Published: (2024)
Nearest Neighbor Matching as Least Squares Density Ratio Estimation and Riesz Regression
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
Neumann-series corrections for regression adjustment in randomized experiments
by: Song, Dogyoon
Published: (2025)
by: Song, Dogyoon
Published: (2025)
Design-based finite-sample analysis for regression adjustment
by: Song, Dogyoon
Published: (2025)
by: Song, Dogyoon
Published: (2025)
Ordinary Least Squares as an Attention Mechanism
by: Coulombe, Philippe Goulet
Published: (2025)
by: Coulombe, Philippe Goulet
Published: (2025)
$\ell_1$-Regularized Generalized Least Squares
by: Nobari, Kaveh S., et al.
Published: (2024)
by: Nobari, Kaveh S., et al.
Published: (2024)
The Chi-Square Test of Distance Correlation
by: Shen, Cencheng, et al.
Published: (2019)
by: Shen, Cencheng, et al.
Published: (2019)
Statistical Properties of Rectified Flow
by: Mena, Gonzalo, et al.
Published: (2025)
by: Mena, Gonzalo, et al.
Published: (2025)
Environment Invariant Linear Least Squares
by: Fan, Jianqing, et al.
Published: (2023)
by: Fan, Jianqing, et al.
Published: (2023)
Ordinary Least Squares is a Special Case of Transformer
by: Tan, Xiaojun, et al.
Published: (2026)
by: Tan, Xiaojun, et al.
Published: (2026)
High-Dimensional Markov-switching Ordinary Differential Processes
by: Tsai, Katherine, et al.
Published: (2024)
by: Tsai, Katherine, et al.
Published: (2024)
Preventing Model Collapse Under Overparametrization: Optimal Mixing Ratios for Interpolation Learning and Ridge Regression
by: Garg, Anvit, et al.
Published: (2025)
by: Garg, Anvit, et al.
Published: (2025)
Least Squares Inference for Data with Network Dependency
by: Lei, Jing, et al.
Published: (2024)
by: Lei, Jing, et al.
Published: (2024)
Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning
by: Shen, Ye, et al.
Published: (2021)
by: Shen, Ye, et al.
Published: (2021)
Statistical Inference on Gradient Flows
by: Li, Tongyu, et al.
Published: (2026)
by: Li, Tongyu, et al.
Published: (2026)
Likelihood-Preserving Embeddings for Statistical Inference
by: Akdemir, Deniz
Published: (2025)
by: Akdemir, Deniz
Published: (2025)
Extrapolation-Aware Nonparametric Statistical Inference
by: Pfister, Niklas, et al.
Published: (2024)
by: Pfister, Niklas, et al.
Published: (2024)
Statistical Inference for Gradient Boosting Regression
by: Fang, Haimo, et al.
Published: (2025)
by: Fang, Haimo, et al.
Published: (2025)
Generalized Data Thinning Using Sufficient Statistics
by: Dharamshi, Ameer, et al.
Published: (2023)
by: Dharamshi, Ameer, et al.
Published: (2023)
Statistical Hypothesis Testing for Information Value (IV)
by: Rojas, Helder, et al.
Published: (2023)
by: Rojas, Helder, et al.
Published: (2023)
Extrapolation in Statistical Learning with Extreme Value Theory
by: Engelke, Sebastian, et al.
Published: (2026)
by: Engelke, Sebastian, et al.
Published: (2026)
Scalable Kernel-Based Distances for Statistical Inference and Integration
by: Naslidnyk, Masha
Published: (2026)
by: Naslidnyk, Masha
Published: (2026)
Statistical Inference under Adaptive Sampling with LinUCB
by: Fan, Wei, et al.
Published: (2025)
by: Fan, Wei, et al.
Published: (2025)
Stability Bounds for Smooth Optimal Transport Maps and their Statistical Implications
by: Balakrishnan, Sivaraman, et al.
Published: (2025)
by: Balakrishnan, Sivaraman, et al.
Published: (2025)
Statistical and Computational Efficiency for Smooth Tensor Estimation with Unknown Permutations
by: Lee, Chanwoo, et al.
Published: (2021)
by: Lee, Chanwoo, et al.
Published: (2021)
Functional Partial Least-Squares: Adaptive Estimation and Inference
by: Babii, Andrii, et al.
Published: (2024)
by: Babii, Andrii, et al.
Published: (2024)
Statistical Inference for Manifold Similarity and Alignability across Noisy High-Dimensional Datasets
by: Chen, Hongrui, et al.
Published: (2025)
by: Chen, Hongrui, et al.
Published: (2025)
Maximum Mean Discrepancy with Unequal Sample Sizes via Generalized U-Statistics
by: Wei, Aaron, et al.
Published: (2025)
by: Wei, Aaron, et al.
Published: (2025)
Large-Sample Properties of Non-Stationary Source Separation for Gaussian Signals
by: Bachoc, François, et al.
Published: (2022)
by: Bachoc, François, et al.
Published: (2022)
Classification of multivariate functional data on different domains with Partial Least Squares approaches
by: Moindjie, Issam-Ali, et al.
Published: (2022)
by: Moindjie, Issam-Ali, et al.
Published: (2022)
Conditional Predictive Inference for General Structured Data with Group Symmetries
by: Shen, Yichen, et al.
Published: (2026)
by: Shen, Yichen, et al.
Published: (2026)
On Statistical Inference for High-Dimensional Binary Time Series
by: Dai, Dehao, et al.
Published: (2025)
by: Dai, Dehao, et al.
Published: (2025)
Debiased Nonparametric Regression for Statistical Inference and Distributionally Robustness
by: Kato, Masahiro
Published: (2024)
by: Kato, Masahiro
Published: (2024)
High-Dimensional Statistics: Reflections on Progress and Open Problems
by: Maleki, Arian, et al.
Published: (2026)
by: Maleki, Arian, et al.
Published: (2026)
Adversarial learning for nonparametric regression: Minimax rate and adaptive estimation
by: Peng, Jingfu, et al.
Published: (2025)
by: Peng, Jingfu, et al.
Published: (2025)
Online Kernel CUSUM for Change-Point Detection
by: Wei, Song, et al.
Published: (2022)
by: Wei, Song, et al.
Published: (2022)
The BdryMatérn GP: Reliable incorporation of boundary information on irregular domains for Gaussian process modeling
by: Ding, Liang, et al.
Published: (2025)
by: Ding, Liang, et al.
Published: (2025)
SGD with Dependent Data: Optimal Estimation, Regret, and Inference
by: Shen, Yinan, et al.
Published: (2026)
by: Shen, Yinan, et al.
Published: (2026)
Kernel Two-Sample Testing via Directional Components Analysis
by: Cui, Rui, et al.
Published: (2025)
by: Cui, Rui, et al.
Published: (2025)
Similar Items
-
Algebraic and Statistical Properties of the Partially Regularized Ordinary Least Squares Interpolator
by: Yang, Letian, et al.
Published: (2024) -
Inference in Randomized Least Squares and PCA via Normality of Quadratic Forms
by: Wang, Leda, et al.
Published: (2024) -
Nearest Neighbor Matching as Least Squares Density Ratio Estimation and Riesz Regression
by: Kato, Masahiro
Published: (2025) -
Neumann-series corrections for regression adjustment in randomized experiments
by: Song, Dogyoon
Published: (2025) -
Design-based finite-sample analysis for regression adjustment
by: Song, Dogyoon
Published: (2025)