Deanna Needell

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 176

Top Venues

CoRR

ACSSC

ITA

SIAM J. Matrix Anal. Appl.

Publications

Halyun Jeong, Deanna Needell, Jing Qin
Federated Gradient Matching Pursuit. IEEE Trans. Inf. Theory 70 (6) (2024)
Longxiu Huang, Xia Li, Deanna Needell
Randomized Kaczmarz in Adversarial Distributed Setting. SIAM J. Sci. Comput. 46 (3) (2024)
Ziyuan Lin, Deanna Needell
Kernel Alignment for Unsupervised Feature Selection via Matrix Factorization. CoRR (2024)
Minxin Zhang, Jamie Haddock, Deanna Needell
Block Matrix and Tensor Randomized Kaczmarz Methods for Linear Feasibility Problems. CoRR (2024)
Kedar Karhadkar, Erin George, Michael Murray, Guido Montúfar, Deanna Needell
Benign overfitting in leaky ReLU networks with moderate input dimension. CoRR (2024)
HanQin Cai, Zehan Chao, Longxiu Huang, Deanna Needell
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruptions. SIAM J. Imaging Sci. 17 (1) (2024)
Halyun Jeong, Deanna Needell, Elizaveta Rebrova
Stochastic gradient descent for streaming linear and rectified linear systems with Massart noise. CoRR (2024)
Michal Derezinski, Daniel LeJeune, Deanna Needell, Elizaveta Rebrova
Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems. CoRR (2024)
William Swartworth, Deanna Needell, Rachel A. Ward, Mark Kong, Halyun Jeong
Nearly Optimal Bounds for Cyclic Forgetting. NeurIPS (2023)
Erin George, Joyce Chew, Deanna Needell
Detecting and Mitigating Indirect Stereotypes in Word Embeddings. CoRR (2023)
Arian Eamaz, Farhang Yeganegi, Deanna Needell, Mojtaba Soltanalian
Harnessing the Power of Sample Abundance: Theoretical Guarantees and Algorithms for Accelerated One-Bit Sensing. CoRR (2023)
Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
Stochastic Natural Thresholding Algorithms. ACSSC (2023)
Longxiu Huang, Xia Li, Deanna Needell
Distributed Randomized Kaczmarz for the Adversarial Workers. CoRR (2023)
Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
Stochastic Natural Thresholding Algorithms. CoRR (2023)
Arian Eamaz, Farhang Yeganegi, Deanna Needell, Mojtaba Soltanalian
One-Bit Quadratic Compressed Sensing: From Sample Abundance to Linear Feasibility. CoRR (2023)
HanQin Cai, Longxiu Huang, Pengyu Li, Deanna Needell
Matrix Completion With Cross-Concentrated Sampling: Bridging Uniform Sampling and CUR Sampling. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Halyun Jeong, Deanna Needell
Linear Convergence of Reshuffling Kaczmarz Methods With Sparse Constraints. CoRR (2023)
Willem Diepeveen, Joyce Chew, Deanna Needell
Curvature corrected tangent space-based approximation of manifold-valued data. CoRR (2023)
James Chapman, Yotam Yaniv, Deanna Needell
Stratified-NMF for Heterogeneous Data. ACSSC (2023)
Erin George, Michael Murray, William Swartworth, Deanna Needell
Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign? NeurIPS (2023)
Cullen Haselby, Mark A. Iwen, Deanna Needell, Elizaveta Rebrova, William Swartworth
Fast and Low-Memory Compressive Sensing Algorithms for Low Tucker-Rank Tensor Approximation from Streamed Measurements. CoRR (2023)
Halyun Jeong, Deanna Needell, Jing Qin
Federated Gradient Matching Pursuit. CoRR (2023)
Yotam Yaniv, Jacob D. Moorman, William Swartworth, Thomas K. Tu, Daji Landis, Deanna Needell
Selectable Set Randomized Kaczmarz. Numer. Linear Algebra Appl. 30 (1) (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)
James Chapman, Yotam Yaniv, Deanna Needell
Stratified-NMF for Heterogeneous Data. CoRR (2023)
Michael R. Lindstrom, Xiaofu Ding, Feng Liu, Anand Somayajula, Deanna Needell
Continuous Semi-Supervised Nonnegative Matrix Factorization. Algorithms 16 (4) (2023)
Shuang Li, William J. Swartworth, Martin Takác, Deanna Needell, Robert M. Gower
SP2 : A Second Order Stochastic Polyak Method. ICLR (2023)
Arian Eamaz, Farhang Yeganegi, Deanna Needell, Mojtaba Soltanalian
One-Bit Quadratic Compressed Sensing: From Sample Abundance to Linear Feasibility. ISIT (2023)
Joyce Chew, Edward De Brouwer, Smita Krishnaswamy, Deanna Needell, Michael Perlmutter
Manifold Filter-Combine Networks. CoRR (2023)
Erin George, Michael Murray, William Swartworth, Deanna Needell
Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign? CoRR (2023)
HanQin Cai, Zehan Chao, Longxiu Huang, Deanna Needell
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruption. CoRR (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)
Abigail Hickok, Deanna Needell, Mason A. Porter
Analysis of Spatial and Spatiotemporal Anomalies Using Persistent Homology: Case Studies with COVID-19 Data. SIAM J. Math. Data Sci. 4 (3) (2022)
HanQin Cai, Longxiu Huang, Pengyu Li, Deanna Needell
Matrix Completion with Cross-Concentrated Sampling: Bridging Uniform Sampling and CUR Sampling. CoRR (2022)
Zehan Chao, Denali Molitor, Deanna Needell, Mason A. Porter
Inference of Media Bias and Content Quality Using Natural-Language Processing. CoRR (2022)
Joyce A. Chew, Holly R. Steach, Siddharth Viswanath, Hau-Tieng Wu, Matthew J. Hirn, Deanna Needell, Smita Krishnaswamy, Michael Perlmutter
The Manifold Scattering Transform for High-Dimensional Point Cloud Data. CoRR (2022)
Michael R. Lindstrom, Xiaofu Ding, Feng Liu, Anand Somayajula, Deanna Needell
Continuous Semi-Supervised Nonnegative Matrix Factorization. CoRR (2022)
Pengyu Li, Christine Tseng, Yaxuan Zheng, Joyce A. Chew, Longxiu Huang, Benjamin Jarman, Deanna Needell
Guided Semi-Supervised Non-Negative Matrix Factorization. Algorithms 15 (5) (2022)
Erin George, Yotam Yaniv, Deanna Needell
Multi-Randomized Kaczmarz for Latent Class Regression. IEEECONF (2022)
Lu Cheng, Benjamin Jarman, Deanna Needell, Elizaveta Rebrova
On Block Accelerations of Quantile Randomized Kaczmarz for Corrupted Systems of Linear Equations. CoRR (2022)
Andrew Sack, Wenzhao Jiang, Michael Perlmutter, Palina Salanevich, Deanna Needell
On Audio Enhancement via Online Non-Negative Matrix Factorization. CISS (2022)
Hanbaek Lyu, Christopher Strohmeier, Deanna Needell
Online Nonnegative CP-dictionary Learning for Markovian Data. J. Mach. Learn. Res. 23 (2022)
Deanna Needell, William Swartworth, David P. Woodruff
Testing Positive Semidefiniteness Using Linear Measurements. FOCS (2022)
Xia Li, Longxiu Huang, Deanna Needell
Distributed randomized Kaczmarz for the adversarial workers. CoRR (2022)
Shuang Li, William J. Swartworth, Martin Takác, Deanna Needell, Robert M. Gower
SP2: A Second Order Stochastic Polyak Method. CoRR (2022)
Joyce Chew, Holly R. Steach, Siddharth Viswanath, Hau-Tieng Wu, Matthew J. Hirn, Deanna Needell, Matthew D. Vesely, Smita Krishnaswamy, Michael Perlmutter
The Manifold Scattering Transform for High-Dimensional Point Cloud Data. TAG-ML (2022)
Joyce Chew, Matthew J. Hirn, Smita Krishnaswamy, Deanna Needell, Michael Perlmutter, Holly R. Steach, Siddharth Viswanath, Hau-Tieng Wu
Geometric Scattering on Measure Spaces. CoRR (2022)
Joshua Vendrow, Jamie Haddock, Deanna Needell
A Generalized Hierarchical Nonnegative Tensor Decomposition. ICASSP (2022)
Pengyu Li, Christine Tseng, Yaxuan Zheng, Joyce A. Chew, Longxiu Huang, Benjamin Jarman, Deanna Needell
Guided Semi-Supervised Non-negative Matrix Factorization on Legal Documents. CoRR (2022)
Benjamin Jarman, Yotam Yaniv, Deanna Needell
Online Signal Recovery via Heavy Ball Kaczmarz. IEEECONF (2022)
Deanna Needell, William Swartworth, David P. Woodruff
Testing Positive Semidefiniteness Using Linear Measurements. CoRR (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, 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)
Xiaofu Ding, Xinyu Dong, Olivia McGough, Chenxin Shen, Annie Ulichney, Ruiyao Xu, William Swartworth, Jocelyn T. Chi, Deanna Needell
Population-Based Hierarchical Non-Negative Matrix Factorization for Survey Data. BDCAT (2022)
Erin George, Yotam Yaniv, Deanna Needell
Multi-Randomized Kaczmarz for Latent Class Regression. CoRR (2022)
Joyce Chew, Deanna Needell, Michael Perlmutter
A Convergence Rate for Manifold Neural Networks. CoRR (2022)
Benjamin Jarman, Yotam Yaniv, Deanna Needell
Online Signal Recovery via Heavy Ball Kaczmarz. CoRR (2022)
Joshua Vendrow, Jamie Haddock, Deanna Needell
A Generalized Hierarchical Nonnegative Tensor Decomposition. CoRR (2021)
Mark A. Iwen, Deanna Needell, Michael Perlmutter, Elizaveta Rebrova
Modewise Operators, the Tensor Restricted Isometry Property, and Low-Rank Tensor Recovery. CoRR (2021)
HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell
Mode-wise Tensor Decompositions: Multi-dimensional Generalizations of CUR Decompositions. CoRR (2021)
Yotam Yaniv, Jacob D. Moorman, William Swartworth, Thomas K. Tu, Daji Landis, Deanna Needell
Selectable Set Randomized Kaczmarz. CoRR (2021)
Michael R. Lindstrom, William J. Swartworth, Deanna Needell
Reconstructing Piezoelectric Responses over a Lattice: Adaptive Sampling of Low Dimensional Time Series Representations Based on Relative Isolation and Gradient Size. SMC (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)
Benjamin Jarman, Deanna Needell
QuantileRK: Solving Large-Scale Linear Systems with Corrupted, Noisy Data. ACSCC (2021)
Andrew Sack, Wenzhao Jiang, Michael Perlmutter, Palina Salanevich, Deanna Needell
On audio enhancement via online non-negative matrix factorization. CoRR (2021)
HanQin Cai, Zehan Chao, Longxiu Huang, Deanna Needell
. ICCVW (2021)
Zehan Chao, Longxiu Huang, Deanna Needell
HOSVD-Based Algorithm for Weighted Tensor Completion. J. Imaging 7 (7) (2021)
HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell
Robust CUR Decomposition: Theory and Imaging Applications. SIAM J. Imaging Sci. 14 (4) (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)
Elizaveta Rebrova, Deanna Needell
On block Gaussian sketching for the Kaczmarz method. Numer. Algorithms 86 (1) (2021)
Robert M. Gower, Denali Molitor, Jacob D. Moorman, Deanna Needell
On Adaptive Sketch-and-Project for Solving Linear Systems. SIAM J. Matrix Anal. Appl. 42 (2) (2021)
Simon Foucart, Deanna Needell, Reese Pathak, Yaniv Plan, Mary Wootters
Weighted Matrix Completion From Non-Random, Non-Uniform Sampling Patterns. IEEE Trans. Inf. Theory 67 (2) (2021)
Mark A. Iwen, Deanna Needell, Elizaveta Rebrova, Ali Zare
Lower Memory Oblivious (Tensor) Subspace Embeddings with Fewer Random Bits: Modewise Methods for Least Squares. SIAM J. Matrix Anal. Appl. 42 (1) (2021)
HanQin Cai, Zehan Chao, Longxiu Huang, Deanna Needell
Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition. CoRR (2021)
HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell
Robust CUR Decomposition: Theory and Imaging Applications. CoRR (2021)
Ryan Budahazy, Lu Cheng, Yihuan Huang, Andrew Johnson, Pengyu Li, Joshua Vendrow, Zhoutong Wu, Denali Molitor, Elizaveta Rebrova, Deanna Needell
Analysis of Legal Documents via Non-negative Matrix Factorization Methods. CoRR (2021)
Longxiu Huang, Deanna Needell, Sui Tang
Robust recovery of bandlimited graph signals via randomized dynamical sampling. CoRR (2021)
Abigail Hickok, Deanna Needell, Mason A. Porter
Analysis of Spatiotemporal Anomalies Using Persistent Homology: Case Studies with COVID-19 Data. CoRR (2021)
HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell
Mode-wise Tensor Decompositions: Multi-dimensional Generalizations of CUR Decompositions. J. Mach. Learn. Res. 22 (2021)
Joshua Vendrow, Jamie Haddock, Elizaveta Rebrova, Deanna Needell
On a Guided Nonnegative Matrix Factorization. ICASSP (2021)
Benjamin Jarman, Deanna Needell
QuantileRK: Solving Large-Scale Linear Systems with Corrupted, Noisy Data. CoRR (2021)
Shuang Li, Deanna Needell, William Swartworth
An Untrained One-layer Convolutional Network-based Method for Line Spectral Estimation. ACSCC (2021)
Deanna Needell, Aaron A. Nelson, Rayan Saab, Palina Salanevich
Random Vector Functional Link Networks for Function Approximation on Manifolds. CoRR (2020)
Christopher Strohmeier, Deanna Needell
Clustering of Nonnegative Data and an Application to Matrix Completion. ICASSP (2020)
Christopher Strohmeier, Hanbaek Lyu, Deanna Needell
Online nonnegative tensor factorization and CP-dictionary learning for Markovian data. CoRR (2020)
Lara Kassab, Henry Adams, Deanna Needell
An Adaptation for Iterative Structured Matrix Completion. ACSSC (2020)
Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery. ITA (2020)
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)
Christopher Strohmeier, Deanna Needell
Clustering of Nonnegative Data and an Application to Matrix Completion. CoRR (2020)
Jacob D. Moorman, Thomas K. Tu, Denali Molitor, Deanna Needell
Randomized Kaczmarz with Averaging. CoRR (2020)
Hanbaek Lyu, Georg Menz, Deanna Needell, Christopher Strohmeier
Applications of Online Nonnegative Matrix Factorization to Image and Time-Series Data. ITA (2020)
Jamie Haddock, Deanna Needell, Elizaveta Rebrova, William Swartworth
Stochastic Gradient Descent Variants for Corrupted Systems of Linear Equations. CISS (2020)
Henry Adams, Lara Kassab, Deanna Needell
An Iterative Method for Structured Matrix Completion. CoRR (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)
Zehan Chao, Longxiu Huang, Deanna Needell
Tensor Completion through Total Variation with Initialization from Weighted HOSVD. ITA (2020)
Hanbaek Lyu, Christopher Strohmeier, Georg Menz, Deanna Needell
COVID-19 Time-series Prediction by Joint Dictionary Learning and Online NMF. CoRR (2020)
Rachel Grotheer, Yihuan Huang, Pengyu Li, Elizaveta Rebrova, Deanna Needell, Longxiu Huang, Alona Kryshchenko, Xia Li, Kyung Ha, Oleksandr Kryshchenko
COVID-19 Literature Topic-Based Search via Hierarchical NMF. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Deanna Needell