Jamie Haddock | DeepAI

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∙ 08/15/2023

On Subsampled Quantile Randomized Kaczmarz

When solving noisy linear systems Ax = b + c, the theoretical and empiri...

0 Jamie Haddock, et al. ∙

∙ 02/28/2023

Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling

We introduce a new method based on nonnegative matrix factorization, Neu...

0 Tyler Will, et al. ∙

∙ 08/28/2022

Automatic Infectious Disease Classification Analysis with Concept Discovery

Automatic infectious disease classification from images can facilitate n...

0 Elena Sizikova, et al. ∙

∙ 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...

0 Hannah Friedman, et al. ∙

∙ 04/27/2022

Nonbacktracking spectral clustering of nonuniform hypergraphs

Spectral methods offer a tractable, global framework for clustering in g...

0 Philip Chodrow, et al. ∙

∙ 02/28/2022

Semi-supervised Nonnegative Matrix Factorization for Document Classification

We propose new semi-supervised nonnegative matrix factorization (SSNMF) ...

5 Jamie Haddock, et al. ∙

∙ 10/27/2021

Paving the Way for Consensus: Convergence of Block Gossip Algorithms

Gossip protocols are popular methods for average consensus problems in d...

0 Jamie Haddock, et al. ∙

∙ 09/30/2021

A Generalized Hierarchical Nonnegative Tensor Decomposition

Nonnegative matrix factorization (NMF) has found many applications inclu...

18 Joshua Vendrow, et al. ∙

∙ 05/19/2021

Statistical Learning for Best Practices in Tattoo Removal

The causes behind complications in laser-assisted tattoo removal are cur...

0 Richard Yim, et al. ∙

∙ 10/22/2020

On a Guided Nonnegative Matrix Factorization

Fully unsupervised topic models have found fantastic success in document...

0 Joshua Vendrow, et al. ∙

∙ 10/20/2020

On Application of Block Kaczmarz Methods in Matrix Factorization

Matrix factorization techniques compute low-rank product approximations ...

0 Edwin Chau, et al. ∙

∙ 10/15/2020

Semi-supervised NMF Models for Topic Modeling in Learning Tasks

We propose several new models for semi-supervised nonnegative matrix fac...

1 Jamie Haddock, et al. ∙

∙ 09/17/2020

Quantile-based Iterative Methods for Corrupted Systems of Linear Equations

Often in applications ranging from medical imaging and sensor networks t...

0 Jamie Haddock, et al. ∙

∙ 08/24/2020

Feature Selection on Lyme Disease Patient Survey Data

Lyme disease is a rapidly growing illness that remains poorly understood...

0 Joshua Vendrow, et al. ∙

∙ 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...

16 Miju Ahn, et al. ∙

∙ 12/07/2019

Greed Works: An Improved Analysis of Sampling Kaczmarz-Motkzin

Stochastic iterative algorithms have gained recent interest in machine l...

0 Jamie Haddock, et al. ∙

∙ 07/05/2019

On Inferences from Completed Data

Matrix completion has become an extremely important technique as data sc...

0 Jamie Haddock, et al. ∙

∙ 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...

2 Jesús A. De Loera, et al. ∙

∙ 03/21/2018

Randomized Projection Methods for Linear Systems with Arbitrarily Large Sparse Corruptions

In applications like medical imaging, error correction, and sensor netwo...

0 Jamie Haddock, et al. ∙

∙ 03/21/2018

Randomized Projection Methods for Corrupted Linear Systems

In applications like medical imaging, error correction, and sensor netwo...

0 Jamie Haddock, et al. ∙

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