Jamie Haddock

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On a Guided Nonnegative Matrix Factorization

Fully unsupervised topic models have found fantastic success in document...
10/22/2020 ∙ by Joshua Vendrow, et al. ∙ 0 ∙ share

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On Application of Block Kaczmarz Methods in Matrix Factorization

Matrix factorization techniques compute low-rank product approximations ...
10/20/2020 ∙ by Edwin Chau, et al. ∙ 0 ∙ share

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Semi-supervised NMF Models for Topic Modeling in Learning Tasks

We propose several new models for semi-supervised nonnegative matrix fac...
10/15/2020 ∙ by Jamie Haddock, et al. ∙ 1 ∙ share

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Quantile-based Iterative Methods for Corrupted Systems of Linear Equations

Often in applications ranging from medical imaging and sensor networks t...
09/17/2020 ∙ by Jamie Haddock, et al. ∙ 0 ∙ share

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Feature Selection on Lyme Disease Patient Survey Data

Lyme disease is a rapidly growing illness that remains poorly understood...
08/24/2020 ∙ by Joshua Vendrow, et al. ∙ 0 ∙ share

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On Large-Scale Dynamic Topic Modeling with Nonnegative CP Tensor Decomposition

There is currently an unprecedented demand for large-scale temporal data...
01/02/2020 ∙ by Miju Ahn, et al. ∙ 16 ∙ share

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Greed Works: An Improved Analysis of Sampling Kaczmarz-Motkzin

Stochastic iterative algorithms have gained recent interest in machine l...
12/07/2019 ∙ by Jamie Haddock, et al. ∙ 0 ∙ share

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On Inferences from Completed Data

Matrix completion has become an extremely important technique as data sc...
07/05/2019 ∙ by Jamie Haddock, et al. ∙ 0 ∙ share

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Data-driven Algorithm Selection and Parameter Tuning: Two Case studies in Optimization and Signal Processing

Machine learning algorithms typically rely on optimization subroutines a...
05/31/2019 ∙ by Jesús A. De Loera, et al. ∙ 2 ∙ share

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Randomized Projection Methods for Linear Systems with Arbitrarily Large Sparse Corruptions

In applications like medical imaging, error correction, and sensor netwo...
03/21/2018 ∙ by Jamie Haddock, et al. ∙ 0 ∙ share

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Randomized Projection Methods for Corrupted Linear Systems

In applications like medical imaging, error correction, and sensor netwo...
03/21/2018 ∙ by Jamie Haddock, et al. ∙ 0 ∙ share

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Jamie Haddock

Featured Co-authors

Deanna Needell

Anna Ma

Denali Molitor

Rachel Grotheer

Elizaveta Rebrova

Lara Kassab

Kathryn Leonard

Elena Sizikova

Jesús A. De Loera

Joshua Vendrow

Alona Kryshchenko

On a Guided Nonnegative Matrix Factorization

On Application of Block Kaczmarz Methods in Matrix Factorization

Semi-supervised NMF Models for Topic Modeling in Learning Tasks

Quantile-based Iterative Methods for Corrupted Systems of Linear Equations

Feature Selection on Lyme Disease Patient Survey Data

On Large-Scale Dynamic Topic Modeling with Nonnegative CP Tensor Decomposition

Greed Works: An Improved Analysis of Sampling Kaczmarz-Motkzin

On Inferences from Completed Data

Data-driven Algorithm Selection and Parameter Tuning: Two Case studies in Optimization and Signal Processing

Randomized Projection Methods for Linear Systems with Arbitrarily Large Sparse Corruptions

Randomized Projection Methods for Corrupted Linear Systems