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01/31/2022
Neural Network Training with Asymmetric Crosspoint Elements
Analog crossbar arrays comprising programmable nonvolatile resistors are...
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05/20/2021
EiGLasso for Scalable Sparse Kronecker-Sum Inverse Covariance Estimation
In many real-world problems, complex dependencies are present both among...
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01/19/2021
SEMULATOR: Emulating the Dynamics of Crossbar Array-based Analog Neural System with Regression Neural Networks
As deep neural networks require tremendous amount of computation and mem...
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07/24/2019
Zero-shifting Technique for Deep Neural Network Training on Resistive Cross-point Arrays
A resistive memory device-based computing architecture is one of the pro...
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09/15/2015
Large-Scale Optimization Algorithms for Sparse Conditional Gaussian Graphical Models
This paper addresses the problem of scalable optimization for L1-regular...
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02/14/2012
Smoothing Proximal Gradient Method for General Structured Sparse Learning
We study the problem of learning high dimensional regression models regu...
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09/08/2009
Tree-guided group lasso for multi-response regression with structured sparsity, with an application to eQTL mapping
We consider the problem of estimating a sparse multi-response regression...
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11/13/2008
