3 papers
cs.PL2020
miniKanren as a Tool for Symbolic Computation in Python
Brandon T. Willard
In this article, we give a brief overview of the current state and future potential of symbolic computation within the Python statistical modeling and machine learning community. W…
stat.ML2015
Proximal Algorithms in Statistics and Machine Learning
Nicholas G. Polson, James G. Scott, Brandon T. Willard
In this paper we develop proximal methods for statistical learning. Proximal point algorithms are useful in statistics and machine learning for obtaining optimization solutions for…
math.ST2015
The Horseshoe+ Estimator of Ultra-Sparse Signals
Anindya Bhadra, Jyotishka Datta, Nicholas G. Polson +1
We propose a new prior for ultra-sparse signal detection that we term the "horseshoe+ prior." The horseshoe+ prior is a natural extension of the horseshoe prior that has achieved s…