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stat.ML2015★ 4 cited
A Statistical Theory of Deep Learning via Proximal Splitting
Nicholas G. Polson, Brandon T. Willard, Massoud Heidari
In this paper we develop a statistical theory and an implementation of deep learning models. We show that an elegant variable splitting scheme for the alternating direction method…
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…