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Jonathan Taylor

  1. Optimal Inference After Model Selection
    2014/10/09 by William Fithian, Dennis L. Sun, Fithian, William +3 · 64 citations
    Mathematics · Engineering · Computer Science · #Statistical Methods and Inference #Control Systems and Identification #Gaussian Processes and Bayesian Inference
  2. TerpreT: A Probabilistic Programming Language for Program Induction
    2016/08/15 by Alexander L. Gaunt, Marc Brockschmidt, Gaunt, Alexander L. +12 · 1 voice · 20 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Software Engineering Research #Software Reliability and Analysis Research #Software Testing and Debugging Techniques #cs.AI #cs.LG #cs.NE
  3. Strong Control, Conservative Point Estimation and Simultaneous Conservative Consistency of False Discovery Rates: A Unified Approach
    2003/12/22 by John D. Storey, Jonathan Taylor, David Siegmund · 15 citations
    Mathematics · Decision Sciences · #Statistical Methods in Clinical Trials #Statistical Methods and Bayesian Inference #Optimal Experimental Design Methods
  4. Exact Post-Selection Inference for Sequential Regression Procedures
    2014/01/16 by Ryan J. Tibshirani, Tibshirani, Ryan J., Jonathan Taylor +5 · 15 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
  5. Strong rules for discarding predictors in lasso-type problems
    2010/11/09 by Robert Tibshirani, Tibshirani, Robert, Jacob Bien +12 · 7 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) #math.ST #msc:62G08 #msc:62J07 #stat.ML #stat.TH
  6. Why Adaptively Collected Data Have Negative Bias and How to Correct for It
    2017/08/07 by Xinkun Nie, Nie, Xinkun, Xiaoying Tian +5 · 1 voice · 6 citations
    Computer Science · Decision Sciences · Mathematics · #Advanced Bandit Algorithms Research #Advanced Causal Inference Techniques #Statistical Methods in Clinical Trials #cs.LG #stat.ML
  7. Exact Post Model Selection Inference for Marginal Screening
    2014/02/23 by Jason D. Lee, Jason D Lee, Jonathan Taylor +3 · 10 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Genetic and phenotypic traits in livestock #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistics Theory (math.ST) #cs.LG #math.ST #stat.ME #stat.ML #stat.TH
  8. Selective inference with a randomized response
    2015/07/24 by Xiaoying Tian, Jonathan Taylor, Tian, Xiaoying +1 · 5 citations
    Mathematics · #Advanced Causal Inference Techniques #FOS: Mathematics #Statistical Methods and Inference #Statistical Methods in Clinical Trials #Statistics Theory (math.ST)
  9. Validity of the expected Euler characteristic heuristic
    2005/07/01 by Jonathan Taylor, Akimichi Takemura, Robert J. Adler · 9 citations
    Environmental Science · Mathematics · #Soil Geostatistics and Mapping #Statistical Methods and Inference #Statistical and numerical algorithms #math.PR #msc:53A17 #msc:58A05 #msc:60G15 #msc:60G17 #msc:60G60 #msc:60G70. #msc:62M40
  10. An Introduction to Statistical Learning
    2023/01/01 by Gareth James, Daniela Witten, Trevor Hastie +2 · 8 citations
    Computer Science · Mathematics · #Computational Physics and Python Applications #Statistics Education and Methodologies
  11. Asymptotics of selective inference
    2015/01/15 by Xiaoying Tian, Jonathan Taylor, Tian, Xiaoying +1 · 5 citations
    Mathematics · #Statistical Methods and Inference #Advanced Statistical Methods and Models #Statistical Methods and Bayesian Inference
  12. Communication-efficient sparse regression: a one-shot approach
    2015/03/14 by Jason D. Lee, Lee, Jason D., Yuekai Sun +5 · 6 citations
    Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Stochastic Gradient Optimization Techniques
  13. A significance test for the lasso
    2013/01/31 by Richard Lockhart, Jonathan Taylor, Ryan J. Tibshirani +1 · 7 citations
    Mathematics · #math.ST #stat.ME #stat.TH
  14. Whole-brain Prediction Analysis with GraphNet
    2011/10/18 by Logan Grosenick, Grosenick, Logan, Brad Klingenberg +7 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Neuroscience · #Advanced Graph Neural Networks #Applications (stat.AP) #Bioinformatics and Genomic Networks #FOS: Computer and information sciences #Functional Brain Connectivity Studies
  15. Unifying approach to selective inference with applications to cross-validation
    2017/03/20 by Jelena Markovic, Markovic, Jelena, Lucy Xia +3 · 2 citations
    Engineering · #FOS: Computer and information sciences #Fault Detection and Control Systems #Methodology (stat.ME)
  16. An MCMC-free approach to post-selective inference
    2017/03/17 by Snigdha Panigrahi, Jelena Markovic, Panigrahi, Snigdha +3 · 2 citations
    Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning and Algorithms #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Statistical Methods and Inference
  17. Tests in adaptive regression via the Kac-Rice formula
    2013/08/14 by Jonathan Taylor, Joshua Loftus, Joshua R. Loftus +5 · 2 citations
    Computer Science · Mathematics · #Advanced Statistical Methods and Models #FOS: Computer and information sciences #Machine Learning and ELM #Methodology (stat.ME) #Statistical Methods and Inference #stat.ME
  18. Selective Sequential Model Selection
    2015/12/08 by William Fithian, Jonathan Taylor, Fithian, William +5 · 2 citations
    Computer Science · Mathematics · #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (stat.ML) #Machine Learning and Algorithms #Methodology (stat.ME) #Statistical Methods and Inference
  19. Exact Selective Inference with Randomization
    2022/12/25 by Snigdha Panigrahi, Kevin Fry, Panigrahi, Snigdha +3 · 3 citations
    Computer Science · Mathematics · #Gaussian Processes and Bayesian Inference #Statistical Methods and Inference #Machine Learning and Data Classification
  20. Inferring Treatment Effects After Testing Instrument Strength in Linear Models
    2020/03/14 by Nan Bi, Hyunseung Kang, Bi, Nan +3 · 2 citations
    Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
  21. Signal Enhancement for Magnetic Navigation Challenge Problem
    2020/07/23 by Albert R. Gnadt, Gnadt, Albert R., J. Belarge +23 · 1 citation
    Earth and Planetary Sciences · Engineering · #FOS: Computer and information sciences #FOS: Physical sciences #Geophysical and Geoelectrical Methods #Geophysics (physics.geo-ph) #Inertial Sensor and Navigation #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Magnetic Field Sensors Techniques
  22. Selective sampling after solving a convex problem
    2016/09/19 by Xiaoying Tian Harris, Snigdha Panigrahi, Harris, Xiaoying Tian +7 · 3 citations
    Mathematics · Computer Science · #Statistical Methods and Inference #Machine Learning and Algorithms #Statistical Methods and Bayesian Inference
  23. VoLux-GAN: A Generative Model for 3D Face Synthesis with HDRI Relighting
    2022/01/13 by Feitong Tan, Sean Fanello, Tan, Feitong +15 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face recognition and analysis #Generative Adversarial Networks and Image Synthesis #Image Enhancement Techniques
  24. Pretraining and the Lasso
    2024/01/23 by Erin Craig, Mert Pilancı, Craig, Erin +16 · 2 citations
    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. Developing a Series of AI Challenges for the United States Department of the Air Force
    2022/07/14 by Vijay Gadepally, Gadepally, Vijay, Gregory Angelides +81 · 1 citation
    Business, Management and Accounting · Decision Sciences · #Artificial Intelligence (cs.AI) #Big Data and Business Intelligence #Computers and Society (cs.CY) #Data Quality and Management #FOS: Computer and information sciences #Scientific Computing and Data Management
  26. Discovery of Spherules of Likely Extrasolar Composition in the Pacific Ocean Site of the CNEOS 2014-01-08 (IM1) Bolide
    2023/08/29 by Abraham Loeb, Toby Adamson, Loeb, Abraham +81 · 1 voice · 1 citation
    Biochemistry, Genetics and Molecular Biology · Earth and Planetary Sciences · Physics and Astronomy · #Astro and Planetary Science #Astrophysics of Galaxies (astro-ph.GA) #Earth and Planetary Astrophysics (astro-ph.EP) #FOS: Physical sciences #Geochemistry and Elemental Analysis #Geomagnetism and Paleomagnetism Studies #astro-ph.EP #astro-ph.GA
  27. A Generalized Least Squares Matrix Decomposition
    2011/02/15 by Genevera I. Allen, Allen, Genevera I., Logan Grosenick +3 · 1 citation
    Computer Science · Engineering · Mathematics · Medicine · #Advanced Neuroimaging Techniques and Applications #Blind Source Separation Techniques #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME) #Sparse and Compressive Sensing Techniques #stat.ME #stat.ML