Jamie Haddock

Orcid: 0000-0002-1449-2574

According to our database1, Jamie Haddock authored at least 31 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
On Quantile Randomized Kaczmarz for Linear Systems with Time-Varying Noise and Corruption.
CoRR, 2024

2023
Nonbacktracking Spectral Clustering of Nonuniform Hypergraphs.
SIAM J. Math. Data Sci., June, 2023

Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling.
CoRR, 2023

An Interpretable Joint Nonnegative Matrix Factorization-Based Point Cloud Distance Measure.
Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

On Subsampled Quantile Randomized Kaczmarz.
Proceedings of the 59th Annual Allerton Conference on Communication, 2023

2022
Paving the Way for Consensus: Convergence of Block Gossip Algorithms.
IEEE Trans. Inf. Theory, 2022

Quantile-Based Iterative Methods for Corrupted Systems of Linear Equations.
SIAM J. Matrix Anal. Appl., 2022

Automatic Infectious Disease Classification Analysis with Concept Discovery.
CoRR, 2022

Joint NMF for Identification of Shared Features in Datasets and a Dataset Distance Measure.
CoRR, 2022

A Generalized Hierarchical Nonnegative Tensor Decomposition.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Greed Works: An Improved Analysis of Sampling Kaczmarz-Motzkin.
SIAM J. Math. Data Sci., 2021

Data-driven algorithm selection and tuning in optimization and signal processing.
Ann. Math. Artif. Intell., 2021

On a Guided Nonnegative Matrix Factorization.
Proceedings of the IEEE International Conference on Acoustics, 2021

Neural Nonnegative CP Decomposition for Hierarchical Tensor Analysis.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

Semi-supervised Nonnegative Matrix Factorization for Document Classification.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
The Minimum Euclidean-Norm Point in a Convex Polytope: Wolfe's Combinatorial Algorithm is Exponential.
SIAM J. Comput., 2020

On Application of Block Kaczmarz Methods in Matrix Factorization.
CoRR, 2020

Semi-supervised NMF Models for Topic Modeling in Learning Tasks.
CoRR, 2020

Feature Selection on Lyme Disease Patient Survey Data.
CoRR, 2020

On Large-Scale Dynamic Topic Modeling with Nonnegative CP Tensor Decomposition.
CoRR, 2020

Feature Selection from Lyme Disease Patient Survey Using Machine Learning.
Algorithms, 2020

On Nonnegative CP Tensor Decomposition Robustness to Noise.
Proceedings of the Information Theory and Applications Workshop, 2020

Stochastic Gradient Descent Variants for Corrupted Systems of Linear Equations.
Proceedings of the 54th Annual Conference on Information Sciences and Systems, 2020

2019
Randomized Projection Methods for Linear Systems with Arbitrarily Large Sparse Corruptions.
SIAM J. Sci. Comput., 2019

Greed Works: An Improved Analysis of Sampling Kaczmarz-Motkzin.
CoRR, 2019

Data-driven Algorithm Selection and Parameter Tuning: Two Case studies in Optimization and Signal Processing.
CoRR, 2019

Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Convergence of Iterative Hard Thresholding Variants with Application to Asynchronous Parallel Methods for Sparse Recovery.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Randomized Projection Methods for Corrupted Linear Systems.
CoRR, 2018

A Bayesian Approach for Asynchronous Parallel Sparse Recovery.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
A Sampling Kaczmarz-Motzkin Algorithm for Linear Feasibility.
SIAM J. Sci. Comput., 2017


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