Jamie Haddock

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 43

Top Topics

Infectious Disease

Negative Matrix Factorization

Tensor Decomposition

Top Venues

SIAM J. Math. Data Sci.

Publications

Nestor Coria, Jamie Haddock, Jaime Pacheco
On Quantile Randomized Kaczmarz for Linear Systems with Time-Varying Noise and Corruption. CoRR (2024)
Minxin Zhang, Jamie Haddock, Deanna Needell
Block Matrix and Tensor Randomized Kaczmarz Methods for Linear Feasibility Problems. CoRR (2024)
Rafael S. Gonçalves, Jason Payne, Amelia L. M. Tan, Carmen Benitez, Jamie Haddock, Robert Gentleman
The text2term tool to map free-text descriptions of biomedical terms to ontologies. CoRR (2024)
Bryan Curtis, Luyining Gan, Jamie Haddock, Rachel Lawrence, Sam Spiro
Zero forcing with random sets. Discret. Math. 347 (5) (2024)
Jamie Haddock, Anna Ma, Elizaveta Rebrova
On Subsampled Quantile Randomized Kaczmarz. Allerton (2023)
Philip S. Chodrow, Nicole Eikmeier, Jamie Haddock
Nonbacktracking Spectral Clustering of Nonuniform Hypergraphs. SIAM J. Math. Data Sci. 5 (2) (2023)
Jamie Haddock, Anna Ma, Elizaveta Rebrova
On Subsampled Quantile Randomized Kaczmarz. CoRR (2023)
Tyler Will, Runyu Zhang, Eli Sadovnik, Mengdi Gao, Joshua Vendrow, Jamie Haddock, Denali Molitor, Deanna Needell
Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling. CoRR (2023)
Hannah Friedman, Amani R. Maina-Kilaas, Julianna Schalkwyk, Hina Ahmed, Jamie Haddock
An Interpretable Joint Nonnegative Matrix Factorization-Based Point Cloud Distance Measure. CISS (2023)
Elena Sizikova, Joshua Vendrow, Xu Cao, Rachel Grotheer, Jamie Haddock, Lara Kassab, Alona Kryshchenko, Thomas Merkh, R. W. M. A. Madushani, Kenny Moise, Annie Ulichney, Huy V. Vo, Chuntian Wang, Megan Coffee, Kathryn Leonard, Deanna Needell
Automatic Infectious Disease Classification Analysis with Concept Discovery. CoRR (2022)
Hannah Friedman, Amani R. Maina-Kilaas, Julianna Schalkwyk, Hina Ahmed, Jamie Haddock
Joint NMF for Identification of Shared Features in Datasets and a Dataset Distance Measure. CoRR (2022)
Philip S. Chodrow, Nicole Eikmeier, Jamie Haddock
Nonbacktracking spectral clustering of nonuniform hypergraphs. CoRR (2022)
Joshua Vendrow, Jamie Haddock, Deanna Needell
A Generalized Hierarchical Nonnegative Tensor Decomposition. ICASSP (2022)
Jamie Haddock, Deanna Needell, Elizaveta Rebrova, William Swartworth
Quantile-Based Iterative Methods for Corrupted Systems of Linear Equations. SIAM J. Matrix Anal. Appl. 43 (2) (2022)
Jamie Haddock, Benjamin Jarman, Chen Yap
Paving the Way for Consensus: Convergence of Block Gossip Algorithms. IEEE Trans. Inf. Theory 68 (11) (2022)
Jamie Haddock, Lara Kassab, Sixian Li, Alona Kryshchenko, Rachel Grotheer, Elena Sizikova, Chuntian Wang, Thomas Merkh, R. W. M. A. Madushani, Miju Ahn, Deanna Needell, Kathryn Leonard
Semi-supervised Nonnegative Matrix Factorization for Document Classification. CoRR (2022)
Joshua Vendrow, Jamie Haddock, Deanna Needell
A Generalized Hierarchical Nonnegative Tensor Decomposition. CoRR (2021)
Jamie Haddock, Lara Kassab, Sixian Li, Alona Kryshchenko, Rachel Grotheer, Elena Sizikova, Chuntian Wang, Thomas Merkh, R. W. M. A. Madushani, Miju Ahn, Deanna Needell, Kathryn Leonard
Semi-supervised Nonnegative Matrix Factorization for Document Classification. ACSCC (2021)
Jamie Haddock, Anna Ma
Greed Works: An Improved Analysis of Sampling Kaczmarz-Motzkin. SIAM J. Math. Data Sci. 3 (1) (2021)
Jamie Haddock, Benjamin Jarman, Chen Yap
Paving the Way for Consensus: Convergence of Block Gossip Algorithms. CoRR (2021)
Joshua Vendrow, Jamie Haddock, Deanna Needell
Neural Nonnegative CP Decomposition for Hierarchical Tensor Analysis. ACSCC (2021)
Jesús A. De Loera, Jamie Haddock, Anna Ma, Deanna Needell
Data-driven algorithm selection and tuning in optimization and signal processing. Ann. Math. Artif. Intell. 89 (7) (2021)
Joshua Vendrow, Jamie Haddock, Elizaveta Rebrova, Deanna Needell
On a Guided Nonnegative Matrix Factorization. ICASSP (2021)
Miju Ahn, Nicole Eikmeier, Jamie Haddock, Lara Kassab, Alona Kryshchenko, Kathryn Leonard, Deanna Needell, R. W. M. A. Madushani, Elena Sizikova, Chuntian Wang
On Large-Scale Dynamic Topic Modeling with Nonnegative CP Tensor Decomposition. CoRR (2020)
Jamie Haddock, Deanna Needell, Elizaveta Rebrova, William Swartworth
Stochastic Gradient Descent Variants for Corrupted Systems of Linear Equations. CISS (2020)
Jamie Haddock, Deanna Needell, Elizaveta Rebrova, William Swartworth
Quantile-based Iterative Methods for Corrupted Systems of Linear Equations. CoRR (2020)
Jamie Haddock, Lara Kassab, Sixian Li, Alona Kryshchenko, Rachel Grotheer, Elena Sizikova, Chuntian Wang, Thomas Merkh, R. W. M. A. Madushani, Miju Ahn, Deanna Needell, Kathryn Leonard
Semi-supervised NMF Models for Topic Modeling in Learning Tasks. CoRR (2020)
Joshua Vendrow, Jamie Haddock, Deanna Needell, Lorraine Johnson
Feature Selection on Lyme Disease Patient Survey Data. CoRR (2020)
Edwin Chau, Jamie Haddock
On Application of Block Kaczmarz Methods in Matrix Factorization. CoRR (2020)
Joshua Vendrow, Jamie Haddock, Deanna Needell, Lorraine Johnson
Feature Selection from Lyme Disease Patient Survey Using Machine Learning. Algorithms 13 (12) (2020)
Joshua Vendrow, Jamie Haddock, Elizaveta Rebrova, Deanna Needell
On a Guided Nonnegative Matrix Factorization. CoRR (2020)
Jamie Haddock, Lara Kassab, Alona Kryshchenko, Deanna Needell
On Nonnegative CP Tensor Decomposition Robustness to Noise. ITA (2020)
Jesús A. De Loera, Jamie Haddock, Luis Rademacher
The Minimum Euclidean-Norm Point in a Convex Polytope: Wolfe's Combinatorial Algorithm is Exponential. SIAM J. Comput. 49 (1) (2020)
Jesús A. De Loera, Jamie Haddock, Anna Ma, Deanna Needell
Data-driven Algorithm Selection and Parameter Tuning: Two Case studies in Optimization and Signal Processing. CoRR (2019)
Jamie Haddock, Anna Ma
Greed Works: An Improved Analysis of Sampling Kaczmarz-Motkzin. CoRR (2019)
Jamie Haddock, Deanna Needell
Randomized Projection Methods for Linear Systems with Arbitrarily Large Sparse Corruptions. SIAM J. Sci. Comput. 41 (5) (2019)
M. Gao, Jamie Haddock, Denali Molitor, Deanna Needell, E. Sadovnik, T. Will, R. Zhang
Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling. CAMSAP (2019)
Jamie Haddock, Deanna Needell, Alireza Zaeemzadeh, Nazanin Rahnavard
Convergence of Iterative Hard Thresholding Variants with Application to Asynchronous Parallel Methods for Sparse Recovery. ACSSC (2019)
Alireza Zaeemzadeh, Jamie Haddock, Nazanin Rahnavard, Deanna Needell
A Bayesian Approach for Asynchronous Parallel Sparse Recovery. ACSSC (2018)
Jamie Haddock, Deanna Needell
Randomized Projection Methods for Corrupted Linear Systems. CoRR (2018)
Jesús A. De Loera, Jamie Haddock, Luis Rademacher
The minimum euclidean-norm point in a convex polytope: Wolfe's combinatorial algorithm is exponential. STOC (2018)
Jesús A. De Loera, Jamie Haddock, Deanna Needell
A Sampling Kaczmarz-Motzkin Algorithm for Linear Feasibility. SIAM J. Sci. Comput. 39 (5) (2017)
Jesús A. De Loera, Jamie Haddock, Luis Rademacher
The Minimum Euclidean-Norm Point on a Convex Polytope: Wolfe's Combinatorial Algorithm is Exponential. CoRR (2017)