Jamie Haddock

48 papers A* 1Misc 7Journal 36Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Beyond Expectation: Concentration Inequalities for Randomized Iterative Methods.
CoRR
Toby Anderson, Max Collins, Jamie Haddock, Jackie Lok, Elizaveta Rebrova
2025 J jnl
Block Gauss-Seidel methods for t-product tensor regression.
CoRR
Alejandra Castillo, Jamie Haddock, Iryna Hartsock, Paulina Hoyos, Lara Kassab, Alona Kryshchenko, Kamila Larripa, Deanna Needell, Shambhavi Suryanarayanan, Karamatou Yacoubou Djima
2025 J jnl
Quantile-Based Randomized Kaczmarz for Corrupted Tensor Linear Systems.
CoRR
Alejandra Castillo, Jamie Haddock, Iryna Hartsock, Paulina Hoyos, Lara Kassab, Alona Kryshchenko, Kamila Larripa, Deanna Needell, Shambhavi Suryanarayanan, Karamatou Yacoubou Djima
2024 J jnl
Block Matrix and Tensor Randomized Kaczmarz Methods for Linear Feasibility Problems.
CoRR
Minxin Zhang, Jamie Haddock, Deanna Needell
2024 J jnl
On Quantile Randomized Kaczmarz for Linear Systems with Time-Varying Noise and Corruption.
CoRR
Nestor Coria, Jamie Haddock, Jaime Pacheco
2024 J jnl
Randomized Kaczmarz methods for t-product tensor linear systems with factorized operators.
CoRR
Alejandra Castillo, Jamie Haddock, Iryna Hartsock, Paulina Hoyos, Lara Kassab, Alona Kryshchenko, Kamila Larripa, Deanna Needell, Shambhavi Suryanarayanan, Karamatou Yacoubou Djima
2024 J jnl
The text2term tool to map free-text descriptions of biomedical terms to ontologies.
Database J. Biol. Databases Curation
Rafael S. Gonçalves, Jason Payne, Amelia L. M. Tan, Carmen Benitez, Jamie Haddock, Robert Gentleman
2024 J jnl
The text2term tool to map free-text descriptions of biomedical terms to ontologies.
CoRR
Rafael S. Gonçalves, Jason Payne, Amelia L. M. Tan, Carmen Benitez, Jamie Haddock, Robert Gentleman
2024 J jnl
Zero forcing with random sets.
Discret. Math.
Bryan Curtis, Luyining Gan, Jamie Haddock, Rachel Lawrence, Sam Spiro
2023 Misc conf
An Interpretable Joint Nonnegative Matrix Factorization-Based Point Cloud Distance Measure.
CISS
Hannah Friedman, Amani R. Maina-Kilaas, Julianna Schalkwyk, Hina Ahmed, Jamie Haddock
2023 J jnl
Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling.
CoRR
Tyler Will, Runyu Zhang, Eli Sadovnik, Mengdi Gao, Joshua Vendrow, Jamie Haddock, Denali Molitor, Deanna Needell
2023 J jnl
Nonbacktracking Spectral Clustering of Nonuniform Hypergraphs.
SIAM J. Math. Data Sci.
Philip S. Chodrow, Nicole Eikmeier, Jamie Haddock
2023 — conf
On Subsampled Quantile Randomized Kaczmarz.
Allerton
Jamie Haddock, Anna Ma, Elizaveta Rebrova
2023 J jnl
On Subsampled Quantile Randomized Kaczmarz.
CoRR
Jamie Haddock, Anna Ma, Elizaveta Rebrova
2022 Misc conf
A Generalized Hierarchical Nonnegative Tensor Decomposition.
ICASSP
Joshua Vendrow, Jamie Haddock, Deanna Needell
2022 J jnl
Automatic Infectious Disease Classification Analysis with Concept Discovery.
CoRR
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
2022 J jnl
Joint NMF for Identification of Shared Features in Datasets and a Dataset Distance Measure.
CoRR
Hannah Friedman, Amani R. Maina-Kilaas, Julianna Schalkwyk, Hina Ahmed, Jamie Haddock
2022 J jnl
Nonbacktracking spectral clustering of nonuniform hypergraphs.
CoRR
Philip S. Chodrow, Nicole Eikmeier, Jamie Haddock
2022 J jnl
Paving the Way for Consensus: Convergence of Block Gossip Algorithms.
IEEE Trans. Inf. Theory
Jamie Haddock, Benjamin Jarman, Chen Yap
2022 J jnl
Quantile-Based Iterative Methods for Corrupted Systems of Linear Equations.
SIAM J. Matrix Anal. Appl.
Jamie Haddock, Deanna Needell, Elizaveta Rebrova, William Swartworth
2022 J jnl
Semi-supervised Nonnegative Matrix Factorization for Document Classification.
CoRR
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
2021 J jnl
A Generalized Hierarchical Nonnegative Tensor Decomposition.
CoRR
Joshua Vendrow, Jamie Haddock, Deanna Needell
2021 J jnl
Data-driven algorithm selection and tuning in optimization and signal processing.
Ann. Math. Artif. Intell.
Jesús A. De Loera, Jamie Haddock, Anna Ma, Deanna Needell
2021 J jnl
Greed Works: An Improved Analysis of Sampling Kaczmarz-Motzkin.
SIAM J. Math. Data Sci.
Jamie Haddock, Anna Ma
2021 — conf
Neural Nonnegative CP Decomposition for Hierarchical Tensor Analysis.
ACSCC
Joshua Vendrow, Jamie Haddock, Deanna Needell
2021 Misc conf
On a Guided Nonnegative Matrix Factorization.
ICASSP
Joshua Vendrow, Jamie Haddock, Elizaveta Rebrova, Deanna Needell
2021 J jnl
Paving the Way for Consensus: Convergence of Block Gossip Algorithms.
CoRR
Jamie Haddock, Benjamin Jarman, Chen Yap
2021 — conf
Semi-supervised Nonnegative Matrix Factorization for Document Classification.
ACSCC
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
2020 J jnl
Feature Selection from Lyme Disease Patient Survey Using Machine Learning.
Algorithms
Joshua Vendrow, Jamie Haddock, Deanna Needell, Lorraine Johnson
2020 J jnl
Feature Selection on Lyme Disease Patient Survey Data.
CoRR
Joshua Vendrow, Jamie Haddock, Deanna Needell, Lorraine Johnson
2020 J jnl
On Application of Block Kaczmarz Methods in Matrix Factorization.
CoRR
Edwin Chau, Jamie Haddock
2020 J jnl
On Large-Scale Dynamic Topic Modeling with Nonnegative CP Tensor Decomposition.
CoRR
Miju Ahn, Nicole Eikmeier, Jamie Haddock, Lara Kassab, Alona Kryshchenko, Kathryn Leonard, Deanna Needell, R. W. M. A. Madushani, Elena Sizikova, Chuntian Wang
2020 Misc conf
On Nonnegative CP Tensor Decomposition Robustness to Noise.
ITA
Jamie Haddock, Lara Kassab, Alona Kryshchenko, Deanna Needell
2020 J jnl
On a Guided Nonnegative Matrix Factorization.
CoRR
Joshua Vendrow, Jamie Haddock, Elizaveta Rebrova, Deanna Needell
2020 J jnl
Quantile-based Iterative Methods for Corrupted Systems of Linear Equations.
CoRR
Jamie Haddock, Deanna Needell, Elizaveta Rebrova, William Swartworth
2020 J jnl
Semi-supervised NMF Models for Topic Modeling in Learning Tasks.
CoRR
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
2020 Misc conf
Stochastic Gradient Descent Variants for Corrupted Systems of Linear Equations.
CISS
Jamie Haddock, Deanna Needell, Elizaveta Rebrova, William Swartworth
2020 J jnl
The Minimum Euclidean-Norm Point in a Convex Polytope: Wolfe's Combinatorial Algorithm is Exponential.
SIAM J. Comput.
Jesús A. De Loera, Jamie Haddock, Luis Rademacher
2019 Misc conf
Convergence of Iterative Hard Thresholding Variants with Application to Asynchronous Parallel Methods for Sparse Recovery.
ACSSC
Jamie Haddock, Deanna Needell, Alireza Zaeemzadeh, Nazanin Rahnavard
2019 J jnl
Data-driven Algorithm Selection and Parameter Tuning: Two Case studies in Optimization and Signal Processing.
CoRR
Jesús A. De Loera, Jamie Haddock, Anna Ma, Deanna Needell
2019 J jnl
Greed Works: An Improved Analysis of Sampling Kaczmarz-Motkzin.
CoRR
Jamie Haddock, Anna Ma
2019 — conf
Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling.
CAMSAP
Mengdi Gao, Jamie Haddock, Denali Molitor, Deanna Needell, Eli Sadovnik, Tyler Will, Runyu Zhang
2019 J jnl
Randomized Projection Methods for Linear Systems with Arbitrarily Large Sparse Corruptions.
SIAM J. Sci. Comput.
Jamie Haddock, Deanna Needell
2018 Misc conf
A Bayesian Approach for Asynchronous Parallel Sparse Recovery.
ACSSC
Alireza Zaeemzadeh, Jamie Haddock, Nazanin Rahnavard, Deanna Needell
2018 J jnl
Randomized Projection Methods for Corrupted Linear Systems.
CoRR
Jamie Haddock, Deanna Needell
2018 A* conf
The minimum euclidean-norm point in a convex polytope: Wolfe's combinatorial algorithm is exponential.
STOC
Jesús A. De Loera, Jamie Haddock, Luis Rademacher
2017 J jnl
A Sampling Kaczmarz-Motzkin Algorithm for Linear Feasibility.
SIAM J. Sci. Comput.
Jesús A. De Loera, Jamie Haddock, Deanna Needell
2017 J jnl
The Minimum Euclidean-Norm Point on a Convex Polytope: Wolfe's Combinatorial Algorithm is Exponential.
CoRR
Jesús A. De Loera, Jamie Haddock, Luis Rademacher