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07/13/2021
Data-Driven Low-Rank Neural Network Compression
Despite many modern applications of Deep Neural Networks (DNNs), the lar...
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04/02/2021
Efficacy of Bayesian Neural Networks in Active Learning
Obtaining labeled data for machine learning tasks can be prohibitively e...
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05/30/2019
Matrix Completion in the Unit Hypercube via Structured Matrix Factorization
Several complex tasks that arise in organizations can be simplified by m...
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04/05/2019
Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks
Despite their unprecedented performance in various domains, utilization ...
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02/12/2019
Learning Generative Models of Structured Signals from Their Superposition Using GANs with Application to Denoising and Demixing
Recently, Generative Adversarial Networks (GANs) have emerged as a popul...
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08/29/2017
Improved Support Recovery Guarantees for the Group Lasso With Applications to Structural Health Monitoring
This paper considers the problem of estimating an unknown high dimension...
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04/08/2017
Noisy Tensor Completion for Tensors with a Sparse Canonical Polyadic Factor
In this paper we study the problem of noisy tensor completion for tensor...
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03/17/2017
Block CUR : Decomposing Large Distributed Matrices
A common problem in large-scale data analysis is to approximate a matrix...
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02/24/2017
Rank-to-engage: New Listwise Approaches to Maximize Engagement
For many internet businesses, presenting a given list of items in an ord...
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09/13/2016
Noisy Inductive Matrix Completion Under Sparse Factor Models
Inductive Matrix Completion (IMC) is an important class of matrix comple...
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02/24/2016
A Compressed Sensing Based Decomposition of Electrodermal Activity Signals
The measurement and analysis of Electrodermal Activity (EDA) offers appl...
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02/25/2015
On Convolutional Approximations to Linear Dimensionality Reduction Operators for Large Scale Data Processing
In this paper, we examine the problem of approximating a general linear ...
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11/02/2014
Noisy Matrix Completion under Sparse Factor Models
This paper examines a general class of noisy matrix completion tasks whe...
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09/30/2014
Backhaul-Constrained Multi-Cell Cooperation Leveraging Sparsity and Spectral Clustering
Multi-cell cooperative processing with limited backhaul traffic is studi...
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11/21/2013