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08/15/2023
On Subsampled Quantile Randomized Kaczmarz
When solving noisy linear systems Ax = b + c, the theoretical and empiri...
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02/28/2023
Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling
We introduce a new method based on nonnegative matrix factorization, Neu...
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08/28/2022
Automatic Infectious Disease Classification Analysis with Concept Discovery
Automatic infectious disease classification from images can facilitate n...
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07/11/2022
Joint NMF for Identification of Shared Features in Datasets and a Dataset Distance Measure
In this paper, we derive a new method for determining shared features of...
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04/27/2022
Nonbacktracking spectral clustering of nonuniform hypergraphs
Spectral methods offer a tractable, global framework for clustering in g...
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02/28/2022
Semi-supervised Nonnegative Matrix Factorization for Document Classification
We propose new semi-supervised nonnegative matrix factorization (SSNMF) ...
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10/27/2021
Paving the Way for Consensus: Convergence of Block Gossip Algorithms
Gossip protocols are popular methods for average consensus problems in d...
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09/30/2021
A Generalized Hierarchical Nonnegative Tensor Decomposition
Nonnegative matrix factorization (NMF) has found many applications inclu...
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05/19/2021
Statistical Learning for Best Practices in Tattoo Removal
The causes behind complications in laser-assisted tattoo removal are cur...
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10/22/2020
On a Guided Nonnegative Matrix Factorization
Fully unsupervised topic models have found fantastic success in document...
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10/20/2020
On Application of Block Kaczmarz Methods in Matrix Factorization
Matrix factorization techniques compute low-rank product approximations ...
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10/15/2020
Semi-supervised NMF Models for Topic Modeling in Learning Tasks
We propose several new models for semi-supervised nonnegative matrix fac...
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09/17/2020
Quantile-based Iterative Methods for Corrupted Systems of Linear Equations
Often in applications ranging from medical imaging and sensor networks t...
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08/24/2020
Feature Selection on Lyme Disease Patient Survey Data
Lyme disease is a rapidly growing illness that remains poorly understood...
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01/02/2020
On Large-Scale Dynamic Topic Modeling with Nonnegative CP Tensor Decomposition
There is currently an unprecedented demand for large-scale temporal data...
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12/07/2019
Greed Works: An Improved Analysis of Sampling Kaczmarz-Motkzin
Stochastic iterative algorithms have gained recent interest in machine l...
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07/05/2019
On Inferences from Completed Data
Matrix completion has become an extremely important technique as data sc...
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05/31/2019
Data-driven Algorithm Selection and Parameter Tuning: Two Case studies in Optimization and Signal Processing
Machine learning algorithms typically rely on optimization subroutines a...
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03/21/2018
Randomized Projection Methods for Linear Systems with Arbitrarily Large Sparse Corruptions
In applications like medical imaging, error correction, and sensor netwo...
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03/21/2018