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08/23/2020
Independent Vector Analysis with Deep Neural Network Source Priors
This paper studies the density priors for independent vector analysis (I...
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04/30/2020
A Triangular Network For Density Estimation
In this paper, triangular networks refer to feedforward neural networks ...
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11/29/2018
Learning with Labels of Existing and Nonexisting
We study the classification or detection problems where the label only s...
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09/26/2018
Learning Preconditioners on Lie Groups
We study two types of preconditioners and preconditioned stochastic grad...
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03/26/2018
On the Performance of Preconditioned Stochastic Gradient Descent
This paper studies the performance of preconditioned stochastic gradient...
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06/14/2016
Recurrent neural network training with preconditioned stochastic gradient descent
This paper studies the performance of a recently proposed preconditioned...
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12/14/2015