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Tibshirani, Robert

  1. Exact Post-Selection Inference for Sequential Regression Procedures
    2014/01/16 by Ryan J. Tibshirani, Tibshirani, Ryan J., Jonathan Taylor +5 · 10 citations
    Mathematics · #62F03 #62G15 #Advanced Statistical Methods and Models #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
  2. Strong rules for discarding predictors in lasso-type problems
    2010/11/09 by Robert Tibshirani, Jacob Bien, Tibshirani, Robert +11 · 6 citations
    Computer Science · Mathematics · #62J07 62G08 #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistical Methods and Inference #Statistics Theory (math.ST)
  3. Some methods for heterogeneous treatment effect estimation in\n high-dimensions
    2017/07/01 by Scott K. Powers, Junyang Qian, Powers, Scott +11 · 7 citations
    Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Machine Learning (stat.ML) #Statistical Methods and Inference #Statistical Methods in Clinical Trials
  4. Extended Comparisons of Best Subset Selection, Forward Stepwise Selection, and the Lasso
    2017/07/27 by Trevor Hastie, Hastie, Trevor, Robert Tibshirani +3 · 6 citations
    Decision Sciences · Mathematics · #Advanced Statistical Methods and Models #Advanced Statistical Process Monitoring #Computation (stat.CO) #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Inference
  5. Sequential Selection Procedures and False Discovery Rate Control
    2013/09/20 by Max G’Sell, Stefan Wager, G'Sell, Max Grazier +5 · 6 citations
    Mathematics · Decision Sciences · #Statistical Methods in Clinical Trials #Advanced Statistical Process Monitoring #Statistical Methods and Inference
  6. A Simple Method for Detecting Interactions between a Treatment and a Large Number of Covariates
    2012/12/12 by Lü Tian, Tian, Lu, Ash A. Alizadeh +5 · 4 citations
    Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Inference #Statistical Methods in Clinical Trials
  7. A Study of Error Variance Estimation in Lasso Regression
    2013/11/21 by Reid, Stephen, Tibshirani, Robert, Friedman, Jerome · 4 citations
    #FOS: Computer and information sciences #Methodology (stat.ME)
  8. Selecting the number of principal components: estimation of the true rank of a noisy matrix
    2014/10/30 by Choi, Yunjin, Taylor, Jonathan, Tibshirani, Robert · 4 citations
    #FOS: Computer and information sciences #Methodology (stat.ME)
  9. Synth-Validation: Selecting the Best Causal Inference Method for a Given Dataset
    2017/10/31 by Schuler, Alejandro, Jung, Ken, Tibshirani, Robert +2 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (stat.ML)
  10. BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific Literature
    2025/01/13 by Alejandro Lozano, Min Sun, Lozano, Alejandro +27 · 13 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #AI in cancer detection #Biomedical Text Mining and Ontologies #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #FOS: Computer and information sciences
  11. A comparison of methods for model selection when estimating individual treatment effects
    2018/04/14 by Schuler, Alejandro, Baiocchi, Michael, Tibshirani, Robert +1 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  12. Semiparametric conformal prediction
    2024/11/04 by Park, Ji Won, Tibshirani, Robert, Cho, Kyunghyun · 7 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  13. Classification by Set Cover: The Prototype Vector Machine
    2009/08/17 by Jacob Bien, Robert Tibshirani, Bien, Jacob +1 · 2 citations
    Computer Science · #Algorithms and Data Compression #FOS: Computer and information sciences #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
  14. Sparse inverse covariance estimation with the lasso
    2007/08/27 by Friedman, Jerome, Hastie, Trevor, Tibshirani, Robert · 1 citation
    #C5C60 #FOS: Computer and information sciences #Methodology (stat.ME)
  15. Assessment of Heterogeneous Treatment Effect Estimation Accuracy via Matching
    2020/03/09 by Zijun Gao, Gao, Zijun, Trevor Hastie +3 · 2 citations
    Mathematics · Computer Science · #Advanced Causal Inference Techniques #Statistical Methods and Inference #Machine Learning and Algorithms
  16. Inference with Transposable Data: Modeling the Effects of Row and Column\n Correlations
    2010/04/01 by Genevera I. Allen, Robert Tibshirani, Allen, Genevera I. +1 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Decision Sciences · #Applications (stat.AP) #FOS: Computer and information sciences #Gene expression and cancer classification #Machine Learning (stat.ML) #Methodology (stat.ME) #Molecular Biology Techniques and Applications #Optimal Experimental Design Methods
  17. Uniform Asymptotic Inference and the Bootstrap After Model Selection
    2015/06/20 by Tibshirani, Ryan J., Rinaldo, Alessandro, Tibshirani, Robert +1 · 1 citation
    #FOS: Mathematics #Statistics Theory (math.ST)
  18. A Pliable Lasso
    2017/12/01 by Robert Tibshirani, Tibshirani, Robert, J. Friedman +1 · 1 citation
    Mathematics · #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Inference
  19. Survival analysis as a classification problem
    2019/09/24 by Chenyang Zhong, Robert Tibshirani, Zhong, Chenyang +1 · 1 citation
    Computer Science · Mathematics · #62N86 #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
  20. A Permutation Approach to Testing Interactions in Many Dimensions
    2012/06/27 by Noah Simon, Robert Tibshirani, Simon, Noah +1 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Mathematics · #Gene expression and cancer classification #Bioinformatics and Genomic Networks #Statistical Methods in Clinical Trials
  21. Survival stacking: casting survival analysis as a classification problem
    2021/07/28 by Craig, Erin, Zhong, Chenyang, Tibshirani, Robert · 1 citation
    #FOS: Computer and information sciences #Methodology (stat.ME)
  22. LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and Regularization
    2025/02/15 by Zhang, Erica, Goto, Ryunosuke, Sagan, Naomi +7 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  23. FastCPH: Efficient Survival Analysis for Neural Networks
    2022/08/21 by Yang Xue-lin, Yang, Xuelin, Louis Abraham +11 · 1 citation
    Computer Science · Mathematics · #Applications (stat.AP) #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Machine Learning in Healthcare #Statistical Methods and Inference
  24. Pretraining and the Lasso
    2024/01/23 by Erin Craig, Mert Pilancı, Craig, Erin +16 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning and Algorithms #Machine Learning and Data Classification #Methodology (stat.ME)
  25. MMIL: A novel algorithm for disease associated cell type discovery
    2024/06/12 by Craig, Erin, Keyes, Timothy, Sarno, Jolanda +5 · 1 citation
    #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME) #Quantitative Methods (q-bio.QM)
  26. More powerful post-selection inference, with application to the Lasso
    2018/01/27 by Keli Liu, Jelena Markovic, Liu, Keli +3 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gene expression and cancer classification #Methodology (stat.ME) #Statistical Methods and Inference
  27. Univariate-Guided Sparse Regression
    2025/01/30 by Sourav Chatterjee, Chatterjee, Sourav, Trevor Hastie +3 · 2 voices
    Computer Science · #Face and Expression Recognition #stat.ME