1k citations · 1.6k across the 56 of their papers we have counts for
Showing 2018 · stat.MLShow all
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stat.ML2018★ 1 cited
Deep Learning
Nicholas G. Polson, Vadim O. Sokolov
Deep learning (DL) is a high dimensional data reduction technique for constructing high-dimensional predictors in input-output models. DL is a form of machine learning that uses hi…
stat.ML2018★ 22 cited
Deep Learning for Predicting Asset Returns
Guanhao Feng, Jingyu He, Nicholas G. Polson
Deep learning searches for nonlinear factors for predicting asset returns. Predictability is achieved via multiple layers of composite factors as opposed to additive ones. Viewed i…
stat.ML2018★ 17 cited
Posterior Concentration for Sparse Deep Learning
Nicholas Polson, Veronika Rockova
Spike-and-Slab Deep Learning (SS-DL) is a fully Bayesian alternative to Dropout for improving generalizability of deep ReLU networks. This new type of regularization enables provab…