2 citations · 2 across the 2 of their papers we have counts for
5 papers
Independent Vector Analysis with Deep Neural Network Source Priors
Xi-Lin Li
This paper studies the density priors for independent vector analysis (IVA) with convolutive speech mixture separation as the exemplary application. Most existing source priors for…
A Triangular Network For Density Estimation
Xi-Lin Li
We report a triangular neural network implementation of neural autoregressive flow (NAF). Unlike many universal autoregressive density models, our design is highly modular, paramet…
A Multiclass Multiple Instance Learning Method with Exact Likelihood
Xi-Lin Li
We study a multiclass multiple instance learning (MIL) problem where the labels only suggest whether any instance of a class exists or does not exist in a training sample or exampl…
Preconditioner on Matrix Lie Group for SGD
Xi-Lin Li
We study two types of preconditioners and preconditioned stochastic gradient descent (SGD) methods in a unified framework. We call the first one the Newton type due to its close re…
Online Second Order Methods for Non-Convex Stochastic Optimizations
Xi-Lin Li
This paper proposes a family of online second order methods for possibly non-convex stochastic optimizations based on the theory of preconditioned stochastic gradient descent (PSGD…