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  1. Lactate/albumin ratio predicts mortality in critically ill COVID-19 patients: a retrospective machine learning study
    2025/10/17 by Chaofan Liang, Xinyan Zhang, Qingqing Zhu +5 · 1 voice · 1 citation
    Medicine · #COVID-19 Clinical Research Studies #Covariate #Inflammatory Biomarkers in Disease Prognosis #Lasso (programming language) #Logistic regression #Multivariate statistics #Proportional hazards model #Quartile #Random forest #Retrospective cohort study #Sepsis Diagnosis and Treatment #Support vector machine #Survival analysis
  2. Estimation of Time-Specific Intervention Effects on Continuously Distributed Time-to-Event Outcomes by Targeted Maximum Likelihood Estimation
    2023/03/29 by Helene C. W. Rytgaard, Frank Eriksson, Mark J. van der Laan · 6 citations
    Mathematics · #Advanced Causal Inference Techniques #Artificial intelligence #Causal inference #Censoring (clinical trials) #Computer science #Estimation #Estimator #Event (particle physics) #Inference #Lasso (programming language) #Machine learning #Mathematics #Nonparametric statistics #Proportional hazards model #Semiparametric model #Statistical Methods and Inference #Statistical Methods in Clinical Trials #Statistics
  3. Multiclass Classification by Sparse Multinomial Logistic Regression
    2021/04/22 by Felix Abramovich, Vadim Grinshtein, Tomer Levy · 4 citations
    Computer Science · Mathematics · #Algorithm #Artificial intelligence #Bayesian Methods and Mixture Models #Classifier (UML) #Computer science #Feature (linguistics) #Feature selection #Lasso (programming language) #Logistic regression #Machine Learning and Algorithms #Machine learning #Mathematical optimization #Mathematics #Minimax #Multiclass classification #Multinomial distribution #Multinomial logistic regression #Pattern recognition (psychology) #Statistical Methods and Inference #Statistics #Support vector machine
  4. Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery
    2020/05/01 by Mike Laszkiewicz, Asja Fischer, Laszkiewicz, Mike +3 · 1 citation
    Computer Science · Mathematics · #Advanced Neural Network Applications #Algorithm #Artificial intelligence #Bayesian Modeling and Causal Inference #Calibration #Computer science #Estimator #FOS: Computer and information sciences #Gaussian #Gaussian Processes and Bayesian Inference #Graph #Graphical model #Lasso (programming language) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine learning #Mathematical optimization #Mathematics #Methodology (stat.ME) #Regularization (linguistics) #Resampling #Scheme (mathematics) #Statistical Methods and Inference #Statistics #Theoretical computer science #cs.LG #stat.ME #stat.ML
  5. lassopack: Model selection and prediction with regularized regression in Stata
    2019/01/16 by Achim Ahrens, Christian Hansen, Ahrens, Achim +4 · 2 citations
    Economics, Econometrics and Finance · Environmental Science · Mathematics · #Algorithm #Artificial intelligence #Computer science #Cross-validation #Econometrics #Econometrics (econ.EM) #Elastic net regularization #Environmental Impact and Sustainability #FOS: Economics and business #Lasso (programming language) #Mathematics #Mean squared error #Model selection #Monetary Policy and Economic Impact #Monte Carlo method #Ordinary least squares #Regression #Regression analysis #Selection (genetic algorithm) #Series (stratigraphy) #Statistical Methods and Inference #Statistics #Suite #econ.EM
  6. LASSO regression
    2018/08/07 by J Ranstam, Jonas Ranstam, Jonathan Cook +1 · 49 citations
    Engineering · Mathematics · Medicine · #Fault Detection and Control Systems #Lasso (programming language) #Medicine #Regression #Regression analysis #Statistical Methods and Inference #Statistical and numerical algorithms #Statistics
  7. A Model Selection Criterion for High-Dimensional Linear Regression
    2018/04/02 by Arash Owrang, Magnus Jansson · 1 citation
    Mathematics · Computer Science · #Statistical Methods and Inference #Bayesian Methods and Mixture Models #Advanced Statistical Methods and Models #Model selection #Mathematics #Estimator #Lasso (programming language) #Selection (genetic algorithm) #Mathematical optimization #Context (archaeology) #Bayesian information criterion #Dimension (graph theory) #Linear model #Fisher information #Applied mathematics #Regularization (linguistics) #Computer science #Statistics #Artificial intelligence
  8. Stealing Machine Learning Models via Prediction APIs
    2016/09/09 by Florian Tramèr, Tramèr, Florian, Fan Zhang +7 · 3 voices · 94 citations
    Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Adversary #Analytics #Artificial intelligence #Artificial neural network #Computer science #Computer security #Confidentiality #Data mining #Decision tree #Explainable Artificial Intelligence (XAI) #Fidelity #Lasso (programming language) #Machine learning #Network Security and Intrusion Detection #Support vector machine #Threat model #World Wide Web #cs.CR #cs.LG #stat.ML
  9. Penalized Weighted Least Squares for Outlier Detection and Robust Regression
    2016/03/24 by Xiaoli Gao, Gao, Xiaoli, Yixin Fang +1 · 1 citation
    Decision Sciences · Engineering · Mathematics · #Advanced Statistical Methods and Models #Advanced Statistical Process Monitoring #Algorithm #Anomaly detection #Artificial intelligence #Bayesian probability #Computer science #FOS: Computer and information sciences #Fault Detection and Control Systems #Lasso (programming language) #Least trimmed squares #Least-squares function approximation #Mathematics #Methodology (stat.ME) #Outlier #Partial least squares regression #Pattern recognition (psychology) #Regression #Regression analysis #Robust regression #Statistics #Total least squares #Transformation (genetics) #stat.ME
  10. On the inconsistency of ℓ1-penalised sparse precision matrix estimation
    2016/03/08 by Otte Heinävaara, Heinävaara, Otte, Janne Leppä-aho +5 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · Mathematics · #Algorithm #Applied mathematics #Artificial intelligence #Computation (stat.CO) #Computer science #Consistency (knowledge bases) #Covariance #Covariance matrix #Estimation #FOS: Computer and information sciences #Gene expression and cancer classification #Graphical model #Lasso (programming language) #Latent variable #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical optimization #Mathematics #Matrix (chemical analysis) #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Statistics #cs.LG #stat.CO #stat.ML
  11. Super-resolution imaging with radio interferometry using sparse modeling
    2014/09/26 by Mareki Honma, Kazunori Akiyama, Makoto Uemura +1 · 7 citations
    Computer Science · Engineering · Mathematics · #Advanced Image Processing Techniques #Algorithm #Astrophysics #Computer science #Interferometry #Lasso (programming language) #Limit (mathematics) #Mathematics #Optical measurement and interference techniques #Optics #Physics #Sparse and Compressive Sensing Techniques #Underdetermined system #Very-long-baseline interferometry
  12. Linear and Conic Programming Estimators in High-Dimensional Errors-in-variables Models
    2014/01/01 by Alexandre Belloni, Belloni, Alexandre, Mathieu Rosenbaum +4 · 1 citation
    Engineering · Mathematics · #Advanced Statistical Methods and Models #Algorithm #Applied mathematics #Computation (stat.CO) #Computer science #Conic section #Control Systems and Identification #Estimator #FOS: Computer and information sciences #FOS: Mathematics #Lasso (programming language) #Linear model #Linear programming #Linear regression #Mathematical optimization #Mathematics #Minimax #Minimax estimator #Minimum-variance unbiased estimator #Statistical Methods and Inference #Statistics #Statistics Theory (math.ST) #math.ST #stat.CO #stat.TH
  13. A Flexible, Scalable and Efficient Algorithmic Framework for Primal\n Graphical Lasso
    2011/10/25 by Rahul Mazumder, Deepak K. Agarwal, Deepak Agarwal +2 · 1 citation
    Mathematics · #Advanced Causal Inference Techniques #Algorithm #Artificial intelligence #Block (permutation group theory) #Computational complexity theory #Computer science #Convergence (economics) #Covariance #FOS: Computer and information sciences #Graphical model #Key (lock) #Lasso (programming language) #Machine Learning (stat.ML) #Machine learning #Mathematical optimization #Mathematics #Regularization (linguistics) #Scalability #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistics #Theoretical computer science #Variation (astronomy) #stat.ML
  14. Pathwise coordinate optimization
    2007/08/31 by Jerome H. Friedman, Jerome Friedman, Trevor Hastie +2 · 2 citations
    Computer Science · Engineering · Mathematics · #Algorithm #Artificial intelligence #Computer science #Convex optimization #Coordinate descent #Coordinate system #Elastic net regularization #Feature selection #Lasso (programming language) #Mathematical optimization #Mathematics #Medical Image Segmentation Techniques #Optimization problem #Regular polygon #Smoothing #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Statistics #math.OC #stat.CO
  15. Collinear Groupwise Selection via Scaled Group Lasso
    2026/07/24 by Bahadır Yüzbaşı, Jiguo Cao
    Mathematics · #Advanced Statistical Methods and Models #Feature selection #Group (periodic table) #Lasso (programming language) #Model selection #Random Matrices and Applications #Selection (genetic algorithm) #Statistical Methods and Inference