Nicholas G. Polson

1. Bayesian Inference for Logistic Models Using Pólya–Gamma Latent Variables
   2013/08/09 by Nicholas G. Polson, James G. Scott, Jesse Windle · 40 citations
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
2. Bayesian inference for logistic models using Polya-Gamma latent\n variables
   2012/05/01 by Nicholas G. Polson, Polson, Nicholas G., James G. Scott +3 · 19 citations
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Survey Sampling and Estimation Techniques
3. Posterior Concentration for Sparse Deep Learning
   2018/03/24 by Nicholas G. Polson, Veronika Ročková, Polson, Nicholas +1 · 4 citations
   Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. Dynamic Trees for Learning and Design
   2009/12/08 by Matthew A. Taddy, Taddy, Matthew A., Robert B. Gramacy +3 · 2 citations
   Computer Science · Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning and Algorithms #Methodology (stat.ME) #Statistics Education and Methodologies
5. Local shrinkage rules, Levy processes, and regularized regression
   2010/10/17 by Nicholas G. Polson, James G. Scott, Polson, Nicholas G. +1 · 3 citations
   Computer Science · Mathematics · Economics, Econometrics and Finance · #Bayesian Methods and Mixture Models #Statistical Methods and Inference #Stochastic processes and financial applications
6. The Bayesian Bridge
   2011/09/11 by Nicholas G. Polson, James G. Scott, Polson, Nicholas G. +3 · 2 citations
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
7. Lasso Meets Horseshoe: A Survey
   2019/08/01 by Anindya Bhadra, Jyotishka Datta, Nicholas G. Polson +2 · 1 voice · 2 citations
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
8. A Statistical Theory of Deep Learning via Proximal Splitting
   2015/09/20 by Nicholas G. Polson, Polson, Nicholas G., Brandon T. Willard +3 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (stat.ML) #Neural Networks and Applications
9. Deep Portfolio Theory
   2016/05/23 by J.B. Heaton, Heaton, J. B., Nicholas G. Polson +3 · 2 citations
   Decision Sciences · Economics, Econometrics and Finance · Engineering · #FOS: Computer and information sciences #FOS: Economics and business #Financial Markets and Investment Strategies #Machine Learning (cs.LG) #Portfolio Management (q-fin.PM) #Reservoir Engineering and Simulation Methods #Risk and Portfolio Optimization
10. Generative AI for Bayesian Computation
    2023/05/24 by Nicholas G. Polson, Polson, Nicholas G., Vadim Sokolov +1 · 2 citations
    Computer Science · #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning and Algorithms #Neural Networks and Applications #Time Series Analysis and Forecasting