most citedRobust and Active Learning for Deep Neural Network Regression

1 citations · 1 across the 1 of their papers we have counts for

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2 papers

cs.LG2021★ 1 cited

Robust and Active Learning for Deep Neural Network Regression

Xi Li, George Kesidis, David J. Miller +3

We describe a gradient-based method to discover local error maximizers of a deep neural network (DNN) used for regression, assuming the availability of an "oracle" capable of provi…

q-fin.CP2018

Deeply Learning Derivatives

Ryan Ferguson, Andrew Green

This paper uses deep learning to value derivatives. The approach is broadly applicable, and we use a call option on a basket of stocks as an example. We show that the deep learning…