This paper shows that dropout training in Generalized Linear Models is t...
Machine Learning models require a vast amount of data for accurate train...
Distributionally Robust Optimization (DRO) has been shown to provide a
f...
Sequence generative models with RNN variants, such as LSTM, GRU, show
pr...
Since the amount of information on the internet is growing rapidly, it i...
Data-driven Distributionally Robust Optimization (DD-DRO) via optimal
tr...
Recently, (Blanchet, Kang, and Murhy 2016) showed that several machine
l...
We propose a novel method for semi-supervised learning (SSL) based on
da...