Core-elements Subsampling for Alternating Least Squares
Fuente:
arXiv
Saved in:
| Main Authors: | Xue, Dunyao, Li, Mengyu, Meng, Cheng, Zhang, Jingyi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Core-Elements for Large-Scale Least Squares Estimation
by: Li, Mengyu, et al.
Published: (2022)
by: Li, Mengyu, et al.
Published: (2022)
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)
Active Subsampling for Measurement-Constrained M-Estimation of Individualized Thresholds with High-Dimensional Data
by: Duan, Jingyi, et al.
Published: (2024)
by: Duan, Jingyi, et al.
Published: (2024)
Algebraic and Statistical Properties of the Ordinary Least Squares Interpolator
by: Shen, Dennis, et al.
Published: (2023)
by: Shen, Dennis, et al.
Published: (2023)
$\ell_1$-Regularized Generalized Least Squares
by: Nobari, Kaveh S., et al.
Published: (2024)
by: Nobari, Kaveh S., et al.
Published: (2024)
A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques
by: Li, Xuetong, et al.
Published: (2024)
by: Li, Xuetong, et al.
Published: (2024)
Environment Invariant Linear Least Squares
by: Fan, Jianqing, et al.
Published: (2023)
by: Fan, Jianqing, et al.
Published: (2023)
Functional Partial Least-Squares: Adaptive Estimation and Inference
by: Babii, Andrii, et al.
Published: (2024)
by: Babii, Andrii, 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)
Adaptive and Stratified Subsampling for High-Dimensional Robust Estimation
by: Mittal, Prateek, et al.
Published: (2024)
by: Mittal, Prateek, et al.
Published: (2024)
Tactics for Improving Least Squares Estimation
by: Heng, Qiang, et al.
Published: (2025)
by: Heng, Qiang, et al.
Published: (2025)
Generative Bayesian Computation as a Scalable Alternative to Gaussian Process Surrogates
by: Polson, Nick, et al.
Published: (2026)
by: Polson, Nick, et al.
Published: (2026)
Order Selection in Vector Autoregression by Mean Square Information Criterion
by: Hellstern, Michael, et al.
Published: (2025)
by: Hellstern, Michael, et al.
Published: (2025)
Residual-based Alternative Partial Least Squares for Generalized Functional Linear Models
by: Wang, Yue, et al.
Published: (2025)
by: Wang, Yue, et al.
Published: (2025)
Efficient Sparse Least Absolute Deviation Regression with Differential Privacy
by: Liu, Weidong, et al.
Published: (2024)
by: Liu, Weidong, et al.
Published: (2024)
Semi-Parametric Inference for Doubly Stochastic Spatial Point Processes: An Approximate Penalized Poisson Likelihood Approach
by: Cheng, Si, et al.
Published: (2023)
by: Cheng, Si, et al.
Published: (2023)
CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models
by: Tu, Ruibo, et al.
Published: (2024)
by: Tu, Ruibo, 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)
Principal component analysis balancing prediction and approximation accuracy for spatial data
by: Cheng, Si, et al.
Published: (2024)
by: Cheng, Si, et al.
Published: (2024)
DeepVARMA: A Hybrid Deep Learning and VARMA Model for Chemical Industry Index Forecasting
by: Li, Xiang, et al.
Published: (2024)
by: Li, Xiang, et al.
Published: (2024)
Leveraging Black-box Models to Assess Feature Importance in Unconditional Distribution
by: Zhou, Jing, et al.
Published: (2024)
by: Zhou, Jing, et al.
Published: (2024)
Fast Rerandomization for Balancing Covariates in Randomized Experiments: A Metropolis-Hastings Framework
by: Lu, Jiuyao, et al.
Published: (2026)
by: Lu, Jiuyao, et al.
Published: (2026)
Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large $p$
by: Ye, Shengbin, et al.
Published: (2024)
by: Ye, Shengbin, et al.
Published: (2024)
Symbolic Density Estimation for Discrete Distributions
by: Liu, Ziwen, et al.
Published: (2026)
by: Liu, Ziwen, et al.
Published: (2026)
Two-sample comparison through additive tree models for density ratios
by: Awaya, Naoki, et al.
Published: (2025)
by: Awaya, Naoki, et al.
Published: (2025)
Expected information gain estimation via density approximations: Sample allocation and dimension reduction
by: Li, Fengyi, et al.
Published: (2024)
by: Li, Fengyi, et al.
Published: (2024)
A flexible Bayesian g-formula for causal survival analyses with time-dependent confounding
by: Chen, Xinyuan, et al.
Published: (2024)
by: Chen, Xinyuan, et al.
Published: (2024)
Debiased Distribution Compression
by: Li, Lingxiao, et al.
Published: (2024)
by: Li, Lingxiao, et al.
Published: (2024)
Dimension-reduced Reconstruction Map Learning for Parameter Estimation in Likelihood-Free Inference Problems
by: Zhang, Rui, et al.
Published: (2024)
by: Zhang, Rui, et al.
Published: (2024)
Cramming Contextual Bandits for On-policy Statistical Evaluation
by: Jia, Zeyang, et al.
Published: (2024)
by: Jia, Zeyang, et al.
Published: (2024)
Quantifying and Attributing Submodel Uncertainty in Stochastic Simulation Models and Digital Twins
by: Ghasemloo, Mohammadmahdi, et al.
Published: (2026)
by: Ghasemloo, Mohammadmahdi, et al.
Published: (2026)
Fast post-process Bayesian inference with Variational Sparse Bayesian Quadrature
by: Li, Chengkun, et al.
Published: (2023)
by: Li, Chengkun, et al.
Published: (2023)
A Consistent and Scalable Algorithm for Best Subset Selection in Single Index Models
by: Tang, Borui, et al.
Published: (2023)
by: Tang, Borui, et al.
Published: (2023)
Quantile Least Squares: A Flexible Approach for Robust Estimation and Validation of Location-Scale Families
by: Adjieteh, Mohammed, et al.
Published: (2024)
by: Adjieteh, Mohammed, et al.
Published: (2024)
Combining Wasserstein-1 and Wasserstein-2 proximals: robust manifold learning via well-posed generative flows
by: Gu, Hyemin, et al.
Published: (2024)
by: Gu, Hyemin, et al.
Published: (2024)
Sparse high-dimensional linear mixed modeling with a partitioned empirical Bayes ECM algorithm
by: Zgodic, Anja, et al.
Published: (2023)
by: Zgodic, Anja, et al.
Published: (2023)
Novel Subsampling Strategies for Heavily Censored Reliability Data
by: Ruan, Yixiao, et al.
Published: (2024)
by: Ruan, Yixiao, et al.
Published: (2024)
LLM Sparsity Prior for Robust Feature Selection
by: Skinner, Caleb, et al.
Published: (2026)
by: Skinner, Caleb, et al.
Published: (2026)
Identification and multiply robust estimation in causal mediation analysis across principal strata
by: Cheng, Chao, et al.
Published: (2023)
by: Cheng, Chao, et al.
Published: (2023)
Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization
by: Zhang, Dinghuai, et al.
Published: (2023)
by: Zhang, Dinghuai, et al.
Published: (2023)
Similar Items
-
Core-Elements for Large-Scale Least Squares Estimation
by: Li, Mengyu, et al.
Published: (2022) -
Inference in Randomized Least Squares and PCA via Normality of Quadratic Forms
by: Wang, Leda, et al.
Published: (2024) -
Active Subsampling for Measurement-Constrained M-Estimation of Individualized Thresholds with High-Dimensional Data
by: Duan, Jingyi, et al.
Published: (2024) -
Algebraic and Statistical Properties of the Ordinary Least Squares Interpolator
by: Shen, Dennis, et al.
Published: (2023) -
$\ell_1$-Regularized Generalized Least Squares
by: Nobari, Kaveh S., et al.
Published: (2024)