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Hard Thresholding Regularised Logistic Regression: Theory and Algorithms

East Asian journal on applied mathematics, 2022, Vol.12 (1), p.35-52

2022

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Human‐in‐the‐loop machine learning for healthcare: Current progress and future opportunities in electronic health records

Medicine advances (Online), 2024-09, Vol.2 (3), p.318-322

2024

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Truncated $L_1$ Regularized Linear Regression: Theory and Algorithm

Communications in computational physics, 2021-01, Vol.30 (1), p.190-209

2021

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GSDAR: a fast Newton algorithm for ℓ0 regularized generalized linear models with statistical guarantee

Computational statistics, 2022-03, Vol.37 (1), p.507-533

2022

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Distributed Bayesian posterior voting strategy for massive data

Electronic research archive, 2022-04, Vol.30 (5), p.1936-1953

2022

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Deep estimation for Q⁎ with minimax Bellman error minimization

Information sciences, 2023-11, Vol.648, p.119565, Article 119565

2023

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PDAS: a Newton-type method for $$L_0$$ regularized accelerated failure time model

Computational statistics, 2024-04

2024

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Newton-Raphson Meets Sparsity: Sparse Learning Via a Novel Penalty and a Fast Solver

IEEE transaction on neural networks and learning systems, 2024-09, Vol.35 (9), p.12057-12067

2024

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A communication-efficient method for generalized linear regression with ℓ0 regularization

Communications in statistics. Simulation and computation, 2024-08, Vol.53 (8), p.3850-3867

2024

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A data-driven line search rule for support recovery in high-dimensional data analysis

Computational statistics & data analysis, 2022-10, Vol.174, p.107524, Article 107524

2022

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Approximate Policy Iteration With Deep Minimax Average Bellman Error Minimization

IEEE transaction on neural networks and learning systems, 2024-01, Vol.PP, p.1-12

2024

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A communication-efficient method for generalized linear regression with ℓ 0 regularization

Communications in statistics. Simulation and computation, 2024-08, Vol.53 (8), p.3850-3867

2024

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Computation and analysis of change points with different jump locations in high-dimensional regression

Statistical papers (Berlin, Germany), 2024-05, Vol.65 (3), p.1703-1729

2024

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Global Optimization via Schrödinger–Föllmer Diffusion

SIAM journal on control and optimization, 2023-10, Vol.61 (5), p.2953-2980

2023

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A communication-efficient method for ℓ0 regularization linear regression models

Journal of statistical computation and simulation, 2023-03, Vol.93 (4), p.533-555

2023

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A communication-efficient method for ℓ 0 regularization linear regression models

Journal of statistical computation and simulation, 2023-03, Vol.93 (4), p.533-555

2023

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Fitting sparse linear models under the sufficient and necessary condition for model identification

Statistics & probability letters, 2021-01, Vol.168, p.108925, Article 108925

2021

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High-dimensional linear regression with hard thresholding regularization: Theory and algorithm

Journal of industrial and management optimization, 2023-03, Vol.19 (3), p.2104-2122

2023

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A primal and dual active set algorithm for truncated $L_1$ regularized logistic regression

Journal of industrial and management optimization, 2023, Vol.19 (4), p.2452-2463

2023

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GSDAR: a fast Newton algorithm for $$\ell _0$$ regularized generalized linear models with statistical guarantee

Computational statistics, 2022-03, Vol.37 (1), p.507-533

2022

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Effects of airway pressure release ventilation on multi-organ injuries in severe acute respiratory distress syndrome pig models

BMC pulmonary medicine, 2022-12, Vol.22 (1), p.468-468, Article 468

2022

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Stability Study of Battery Simulator Based on Multisampling Technique

2022 4th Asia Energy and Electrical Engineering Symposium (AEEES), 2022, p.565-570

2022

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CO2气调胁迫下烟草甲谷胱甘肽S-转移酶基因的表达分析

浙江大学学报（农业与生命科学版）, 2017, Vol.43 (5), p.599-607

2017

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分子筛催化剂上正十六烷的临氢异构化反应

Chinese journal of catalysis, 2003, Vol.24 (9), p.651-657

黄卫国李大东石亚华康小洪孟宪波王奎董维正聂红李灿

2003

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Hard Thresholding Regularised Logistic Regression: Theory and Algorithms

Human‐in‐the‐loop machine learning for healthcare: Current progress and future opportunities in electronic health records

Truncated $L_1$ Regularized Linear Regression: Theory and Algorithm

GSDAR: a fast Newton algorithm for ℓ0 regularized generalized linear models with statistical guarantee

Distributed Bayesian posterior voting strategy for massive data

Deep estimation for Q⁎ with minimax Bellman error minimization

PDAS: a Newton-type method for $$L_0$$ regularized accelerated failure time model

Newton-Raphson Meets Sparsity: Sparse Learning Via a Novel Penalty and a Fast Solver

A communication-efficient method for generalized linear regression with ℓ0 regularization

A data-driven line search rule for support recovery in high-dimensional data analysis

Approximate Policy Iteration With Deep Minimax Average Bellman Error Minimization

A communication-efficient method for generalized linear regression with ℓ 0 regularization

Computation and analysis of change points with different jump locations in high-dimensional regression

Global Optimization via Schrödinger–Föllmer Diffusion

A communication-efficient method for ℓ0 regularization linear regression models

A communication-efficient method for ℓ 0 regularization linear regression models

Fitting sparse linear models under the sufficient and necessary condition for model identification

High-dimensional linear regression with hard thresholding regularization: Theory and algorithm

A primal and dual active set algorithm for truncated $L_1$ regularized logistic regression

GSDAR: a fast Newton algorithm for $$\ell _0$$ regularized generalized linear models with statistical guarantee

Effects of airway pressure release ventilation on multi-organ injuries in severe acute respiratory distress syndrome pig models

Stability Study of Battery Simulator Based on Multisampling Technique

CO2气调胁迫下烟草甲谷胱甘肽S-转移酶基因的表达分析

分子筛催化剂上正十六烷的临氢异构化反应

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