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ORCIDJamie Haddock
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2020 – today
- 2024
[j10]Bryan Curtis, Luyining Gan, Jamie Haddock, Rachel Lawrence, Sam Spiro:
Zero forcing with random sets. Discret. Math. 347(5): 113944 (2024)- [i21]Nestor Coria, Jamie Haddock, Jaime Pacheco:
On Quantile Randomized Kaczmarz for Linear Systems with Time-Varying Noise and Corruption. CoRR abs/2403.19874 (2024) - [i20]Minxin Zhang, Jamie Haddock, Deanna Needell:
Block Matrix and Tensor Randomized Kaczmarz Methods for Linear Feasibility Problems. CoRR abs/2406.12021 (2024) - [i19]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 abs/2407.02626 (2024) - 2023
- [j9]Philip S. Chodrow, Nicole Eikmeier, Jamie Haddock:
Nonbacktracking Spectral Clustering of Nonuniform Hypergraphs. SIAM J. Math. Data Sci. 5(2): 251-279 (2023) - [c12]Jamie Haddock, Anna Ma, Elizaveta Rebrova:
On Subsampled Quantile Randomized Kaczmarz. Allerton 2023: 1-8 - [c11]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: 1-6 - [i18]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 abs/2303.00058 (2023) - [i17]Jamie Haddock, Anna Ma, Elizaveta Rebrova:
On Subsampled Quantile Randomized Kaczmarz. CoRR abs/2308.07987 (2023) - 2022
- [j8]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): 605-637 (2022) - [j7]Jamie Haddock, Benjamin Jarman, Chen Yap:
Paving the Way for Consensus: Convergence of Block Gossip Algorithms. IEEE Trans. Inf. Theory 68(11): 7515-7527 (2022) - [c10]Joshua Vendrow, Jamie Haddock, Deanna Needell:
A Generalized Hierarchical Nonnegative Tensor Decomposition. ICASSP 2022: 4473-4477 - [i16]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 abs/2203.03551 (2022) - [i15]Philip S. Chodrow, Nicole Eikmeier, Jamie Haddock:
Nonbacktracking spectral clustering of nonuniform hypergraphs. CoRR abs/2204.13586 (2022) - [i14]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 abs/2207.05112 (2022) - [i13]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 abs/2209.02415 (2022) - 2021
- [j6]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): 711-735 (2021) - [j5]Jamie Haddock, Anna Ma:
Greed Works: An Improved Analysis of Sampling Kaczmarz-Motzkin. SIAM J. Math. Data Sci. 3(1): 342-368 (2021) - [c9]Joshua Vendrow, Jamie Haddock, Deanna Needell:
Neural Nonnegative CP Decomposition for Hierarchical Tensor Analysis. ACSCC 2021: 1340-1347 - [c8]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: 1355-1360 - [c7]Joshua Vendrow, Jamie Haddock, Elizaveta Rebrova, Deanna Needell:
On a Guided Nonnegative Matrix Factorization. ICASSP 2021: 3265-32369 - [i12]Joshua Vendrow, Jamie Haddock, Deanna Needell:
A Generalized Hierarchical Nonnegative Tensor Decomposition. CoRR abs/2109.14820 (2021) - [i11]Jamie Haddock, Benjamin Jarman, Chen Yap:
Paving the Way for Consensus: Convergence of Block Gossip Algorithms. CoRR abs/2110.14609 (2021) - 2020
- [j4]Joshua Vendrow, Jamie Haddock, Deanna Needell, Lorraine Johnson:
Feature Selection from Lyme Disease Patient Survey Using Machine Learning. Algorithms 13(12): 334 (2020) - [j3]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): 138-169 (2020) - [c6]Jamie Haddock, Deanna Needell, Elizaveta Rebrova, William Swartworth:
Stochastic Gradient Descent Variants for Corrupted Systems of Linear Equations. CISS 2020: 1-6 - [c5]Jamie Haddock, Lara Kassab, Alona Kryshchenko, Deanna Needell:
On Nonnegative CP Tensor Decomposition Robustness to Noise. ITA 2020: 1-7 - [i10]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 abs/2001.00631 (2020) - [i9]Jamie Haddock, Deanna Needell, Elizaveta Rebrova, William Swartworth:
Quantile-based Iterative Methods for Corrupted Systems of Linear Equations. CoRR abs/2009.08089 (2020) - [i8]Joshua Vendrow, Jamie Haddock, Deanna Needell, Lorraine Johnson:
Feature Selection on Lyme Disease Patient Survey Data. CoRR abs/2009.09087 (2020) - [i7]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 abs/2010.07956 (2020) - [i6]Edwin Chau, Jamie Haddock:
On Application of Block Kaczmarz Methods in Matrix Factorization. CoRR abs/2010.10635 (2020) - [i5]Joshua Vendrow, Jamie Haddock, Elizaveta Rebrova, Deanna Needell:
On a Guided Nonnegative Matrix Factorization. CoRR abs/2010.11365 (2020)
2010 – 2019
- 2019
- [j2]Jamie Haddock, Deanna Needell:
Randomized Projection Methods for Linear Systems with Arbitrarily Large Sparse Corruptions. SIAM J. Sci. Comput. 41(5): S19-S36 (2019) - [c4]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: 276-279 - [c3]Mengdi Gao, Jamie Haddock, Denali Molitor, Deanna Needell, Eli Sadovnik, Tyler Will, Runyu Zhang:
Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling. CAMSAP 2019: 6-10 - [i4]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 abs/1905.13404 (2019) - [i3]Jamie Haddock, Anna Ma:
Greed Works: An Improved Analysis of Sampling Kaczmarz-Motkzin. CoRR abs/1912.03544 (2019) - 2018
- [c2]Alireza Zaeemzadeh, Jamie Haddock, Nazanin Rahnavard, Deanna Needell:
A Bayesian Approach for Asynchronous Parallel Sparse Recovery. ACSSC 2018: 1980-1984 - [c1]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: 545-553 - [i2]Jamie Haddock, Deanna Needell:
Randomized Projection Methods for Corrupted Linear Systems. CoRR abs/1803.08114 (2018) - 2017
- [j1]Jesús A. De Loera, Jamie Haddock, Deanna Needell:
A Sampling Kaczmarz-Motzkin Algorithm for Linear Feasibility. SIAM J. Sci. Comput. 39(5) (2017) - [i1]Jesús A. De Loera, Jamie Haddock, Luis Rademacher:
The Minimum Euclidean-Norm Point on a Convex Polytope: Wolfe's Combinatorial Algorithm is Exponential. CoRR abs/1710.02608 (2017)
Coauthor Index
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