Cover Image

A Consistent and Scalable Algorithm for Best Subset Selection in Single Index Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tang, Borui, Zhu, Jin, Zhu, Junxian, Wang, Xueqin, Zhang, Heping
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Computation Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

abess: A Fast Best Subset Selection Library in Python and R
by: Zhu, Jin, et al.
Published: (2021)

Scalable Subset Selection in Linear Mixed Models
by: Thompson, Ryan, et al.
Published: (2025)

Reconstruct Ising Model with Global Optimality via SLIDE
by: Chen, Xuanyu, et al.
Published: (2023)

Sparsity-Constraint Optimization via Splicing Iteration
by: Zhu, Jin, et al.
Published: (2024)

Integrated Subset Selection and Bandwidth Estimation Algorithm for Geographically Weighted Regression
by: Lee, Hyunwoo, et al.
Published: (2025)

Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective
by: Feldman, Joseph, et al.
Published: (2023)

Block Empirical Likelihood Inference for Longitudinal Generalized Partially Linear Single-Index Models
by: Zhang, Tianni, et al.
Published: (2026)

Selection of the Most Probable Best
by: Kim, Taeho, et al.
Published: (2022)

Minimax and Communication-Efficient Distributed Best Subset Selection with Oracle Property
by: Lan, Jingguo, et al.
Published: (2024)

Nearly Optimal Subdata Selection
by: Yang, Min, et al.
Published: (2026)

A Statistical View of Column Subset Selection
by: Sood, Anav, et al.
Published: (2023)

Selecting the Best Optimizing System
by: Si, Nian, et al.
Published: (2022)

Scalable Asynchronous Federated Modeling for Spatial Data
by: Shi, Jianwei, et al.
Published: (2025)

Sparse Equation Matching: A Derivative-Free Learning for General-Order Dynamical Systems
by: Li, Jiaqiang, et al.
Published: (2025)

Nonparametric Statistical Inference via Metric Distribution Function in Metric Spaces
by: Wang, Xueqin, et al.
Published: (2021)

A Flexible Empirical Bayes Approach to Generalized Linear Models, with Applications to Sparse Logistic Regression
by: Xie, Dongyue, et al.
Published: (2026)

On the Computational Complexity of Private High-dimensional Model Selection
by: Roy, Saptarshi, et al.
Published: (2023)

Fast Rerandomization for Balancing Covariates in Randomized Experiments: A Metropolis-Hastings Framework
by: Lu, Jiuyao, et al.
Published: (2026)

DeepVARMA: A Hybrid Deep Learning and VARMA Model for Chemical Industry Index Forecasting
by: Li, Xiang, et al.
Published: (2024)

Majority of the Bests: Improving Best-of-N via Bootstrapping
by: Rakhsha, Amin, et al.
Published: (2025)

Conditional Mean and Variance Estimation via \textit{k}-NN Algorithm with Automated Variance Selection
by: Matabuena, Marcos, et al.
Published: (2024)

Nearly Optimal Best Arm Identification for Semiparametric Bandits
by: Kim, Seok-Jin
Published: (2026)

Hierarchical Sparse Bayesian Multitask Model with Scalable Inference for Microbiome Analysis
by: Zhu, Haonan, et al.
Published: (2025)

Statistical Theory of Multi-stage Newton Iteration Algorithm for Online Continual Learning
by: Lu, Xinjia, et al.
Published: (2025)

Efficient Neural Network Training via Subset Pretraining
by: Spörer, Jan, et al.
Published: (2024)

A Bayesian Approach to Low-Discrepancy Subset Selection
by: Kirk, Nathan
Published: (2026)

Scalable Bayesian Structure Learning for Gaussian Graphical Models Using Marginal Pseudo-likelihood
by: Mohammadi, Reza, et al.
Published: (2023)

Scalable Bayesian Inference for Generalized Linear Mixed Models via Stochastic Gradient MCMC
by: Berchuck, Samuel I., et al.
Published: (2024)

A Stable Lasso
by: Nouraie, Mahdi, et al.
Published: (2025)

Safe, Scalable, and Accurate Bayes Posterior Sampling for Large-Data Generalized Linear Mixed Models
by: Baek, Youngsoo, et al.
Published: (2026)

Scalable Monte Carlo for Bayesian Learning
by: Fearnhead, Paul, et al.
Published: (2024)

Approximate Gibbs Sampler for Efficient Inference of Hierarchical Bayesian Models for Grouped Count Data
by: Yu, Jin-Zhu, et al.
Published: (2022)

A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques
by: Li, Xuetong, et al.
Published: (2024)

2D Stability Selection: Design Jittering for Doubly Stable Feature Selection
by: Nouraie, Mahdi, et al.
Published: (2026)

DeepSuM: Deep Sufficient Modality Learning Framework
by: Gao, Zhe, et al.
Published: (2025)

MF-GLaM: A multifidelity stochastic emulator using generalized lambda models
by: Giannoukou, K., et al.
Published: (2025)

On the Selection Stability of Stability Selection and Its Applications
by: Nouraie, Mahdi, et al.
Published: (2024)

A PLS-Integrated LASSO Method with Application in Index Tracking
by: Tang, Shiqin, et al.
Published: (2025)

Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference
by: Hassan, Conor, et al.
Published: (2024)

Statistical Inference for Online Algorithms
by: Carter, Selina, et al.
Published: (2025)