Deanna Needell

252 papers A* 6A 1B 3C 1Misc 25Journal 196Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Convergence and complexity of block majorization-minimization for constrained block-Riemannian optimization. J. Mach. Learn. Res. Yuchen Li, Laura Balzano, Deanna Needell, Hanbaek Lyu
2026	J	`jnl`	Fast and low-memory compressive sensing algorithms for low tucker-rank tensor approximation from streamed measurements. Numer. Algorithms Cullen Haselby, Mark A. Iwen, Deanna Needell, Elizaveta Rebrova, William Swartworth
2026	J	`jnl`	Harmful Overfitting in Sobolev Spaces. CoRR Kedar Karhadkar, Alexander Sietsema, Deanna Needell, Guido Montúfar
2026	J	`jnl`	Learn to Evolve: Self-supervised Neural JKO Operator for Wasserstein Gradient Flow. CoRR Xue Feng, Li Wang, Deanna Needell, Rongjie Lai
2025	J	`jnl`	A federated Kaczmarz algorithm. CoRR Halyun Jeong, Deanna Needell, Chi-Hao Wu
2025	J	`jnl`	Are Greedy Task Orderings Better Than Random in Continual Linear Regression? CoRR Matan Tsipory, Ran Levinstein, Itay Evron, Mark Kong, Deanna Needell, Daniel Soudry
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`	Cauchy Random Features for Operator Learning in Sobolev Space. CoRR Chunyang Liao, Deanna Needell, Hayden Schaeffer
2025	J	`jnl`	Convergence of the alternating least squares algorithm for CP tensor decompositions. CoRR Nicholas Hu, Mark A. Iwen, Deanna Needell, Rongrong Wang
2025	J	`jnl`	Curvature Corrected Nonnegative Manifold Data Factorization. CoRR Joyce A. Chew, Willem Diepeveen, Deanna Needell
2025	J	`jnl`	Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems. J. Mach. Learn. Res. Michal Derezinski, Daniel LeJeune, Deanna Needell, Elizaveta Rebrova
2025	J	`jnl`	Linear Convergence of Reshuffling Kaczmarz Methods with Sparse Constraints. SIAM J. Sci. Comput. Halyun Jeong, Deanna Needell
2025	J	`jnl`	Linear Discriminant Analysis with the Randomized Kaczmarz Method. SIAM J. Matrix Anal. Appl. Jocelyn T. Chi, Deanna Needell
2025	J	`jnl`	Manifold Learning with Normalizing Flows: Towards Regularity, Expressivity and Iso-Riemannian Geometry. CoRR Willem Diepeveen, Deanna Needell
2025	J	`jnl`	Observational Multiplicity. CoRR Erin George, Deanna Needell, Berk Ustun
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
2025	J	`jnl`	Randomized Kaczmarz Methods with Beyond-Krylov Convergence. CoRR Michal Derezinski, Deanna Needell, Elizaveta Rebrova, Jiaming Yang
2025	J	`jnl`	Randomized Kaczmarz Methods with Beyond-Krylov Convergence. SIAM J. Matrix Anal. Appl. Michal Derezinski, Deanna Needell, Elizaveta Rebrova, Jiaming Yang
2025	J	`jnl`	Stable Phase Retrieval: Optimal Rates in Poisson and Heavy-tailed Models. CoRR Gao Huang, Song Li, Deanna Needell
2025	J	`jnl`	Stochastic Gradient Descent for Incomplete Tensor Linear Systems. CoRR Anna Ma, Deanna Needell, Alexander Xue
2025	J	`jnl`	Stochastic Gradient Descent for Streaming Linear and Rectified Linear Systems with Adversarial Corruptions. SIAM J. Math. Data Sci. Halyun Jeong, Deanna Needell, Elizaveta Rebrova
2024	A*	`conf`	Benign overfitting in leaky ReLU networks with moderate input dimension. NeurIPS Kedar Karhadkar, Erin George, Michael Murray, Guido F. Montúfar, Deanna Needell
2024	J	`jnl`	Benign overfitting in leaky ReLU networks with moderate input dimension. CoRR Kedar Karhadkar, Erin George, Michael Murray, Guido Montúfar, Deanna Needell
2024	J	`jnl`	Block Matrix and Tensor Randomized Kaczmarz Methods for Linear Feasibility Problems. CoRR Minxin Zhang, Jamie Haddock, Deanna Needell
2024	A*	`conf`	Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms. ICML Yuchen Li, Laura Balzano, Deanna Needell, Hanbaek Lyu
2024	J	`jnl`	Convergence of Manifold Filter-Combine Networks. CoRR David R. Johnson, Joyce A. Chew, Siddharth Viswanath, Edward De Brouwer, Deanna Needell, Smita Krishnaswamy, Michael Perlmutter
2024	J	`jnl`	Differentially Private Random Feature Model. CoRR Chunyang Liao, Deanna Needell, Alexander Xue
2024	J	`jnl`	Federated Gradient Matching Pursuit. IEEE Trans. Inf. Theory Halyun Jeong, Deanna Needell, Jing Qin
2024	J	`jnl`	Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems. CoRR Michal Derezinski, Daniel LeJeune, Deanna Needell, Elizaveta Rebrova
2024	J	`jnl`	Harnessing the Power of Sample Abundance: Theoretical Guarantees and Algorithms for Accelerated One-Bit Sensing. IEEE Trans. Inf. Theory Arian Eamaz, Farhang Yeganegi, Deanna Needell, Mojtaba Soltanalian
2024	J	`jnl`	Kernel Alignment for Unsupervised Feature Selection via Matrix Factorization. CoRR Ziyuan Lin, Deanna Needell
2024	J	`jnl`	Random vector functional link networks for function approximation on manifolds. Frontiers Appl. Math. Stat. Deanna Needell, Aaron A. Nelson, Rayan Saab, Palina Salanevich, Olov Schavemaker
2024	J	`jnl`	Randomized Kaczmarz in Adversarial Distributed Setting. SIAM J. Sci. Comput. Longxiu Huang, Xia Li, Deanna Needell
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`	Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruptions. SIAM J. Imaging Sci. HanQin Cai, Zehan Chao, Longxiu Huang, Deanna Needell
2024	J	`jnl`	Sparseness-constrained nonnegative tensor factorization for detecting topics at different time scales. Frontiers Appl. Math. Stat. Lara Kassab, Alona Kryshchenko, Hanbaek Lyu, Denali Molitor, Deanna Needell, Elizaveta Rebrova, Jiahong Yuan
2024	J	`jnl`	Stochastic gradient descent for streaming linear and rectified linear systems with Massart noise. CoRR Halyun Jeong, Deanna Needell, Elizaveta Rebrova
2024	—	`conf`	Stratified Non-Negative Tensor Factorization. IEEECONF Alexander Sietsema, Zerrin Vural, James Chapman, Yotam Yaniv, Deanna Needell
2024	J	`jnl`	Stratified Non-Negative Tensor Factorization. CoRR Alexander Sietsema, Zerrin Vural, James Chapman, Yotam Yaniv, Deanna Needell
2024	J	`jnl`	Towards a Fairer Non-negative Matrix Factorization. CoRR Lara Kassab, Erin George, Deanna Needell, Haowen Geng, Nika Jafar Nia, Aoxi Li
2023	J	`jnl`	Continuous Semi-Supervised Nonnegative Matrix Factorization. Algorithms Michael R. Lindstrom, Xiaofu Ding, Feng Liu, Anand Somayajula, Deanna Needell
2023	J	`jnl`	Curvature corrected tangent space-based approximation of manifold-valued data. CoRR Willem Diepeveen, Joyce A. Chew, Deanna Needell
2023	J	`jnl`	Detecting and Mitigating Indirect Stereotypes in Word Embeddings. CoRR Erin George, Joyce A. Chew, Deanna Needell
2023	J	`jnl`	Distributed Randomized Kaczmarz for the Adversarial Workers. CoRR Longxiu Huang, Xia Li, Deanna Needell
2023	J	`jnl`	Fast and Low-Memory Compressive Sensing Algorithms for Low Tucker-Rank Tensor Approximation from Streamed Measurements. CoRR Cullen Haselby, Mark A. Iwen, Deanna Needell, Elizaveta Rebrova, William Swartworth
2023	J	`jnl`	Federated Gradient Matching Pursuit. CoRR Halyun Jeong, Deanna Needell, Jing Qin
2023	J	`jnl`	Harnessing the Power of Sample Abundance: Theoretical Guarantees and Algorithms for Accelerated One-Bit Sensing. CoRR Arian Eamaz, Farhang Yeganegi, Deanna Needell, Mojtaba Soltanalian
2023	J	`jnl`	Linear Convergence of Reshuffling Kaczmarz Methods With Sparse Constraints. CoRR Halyun Jeong, Deanna Needell
2023	J	`jnl`	Manifold Filter-Combine Networks. CoRR Joyce A. Chew, Edward De Brouwer, Smita Krishnaswamy, Deanna Needell, Michael Perlmutter
2023	J	`jnl`	Matrix Completion With Cross-Concentrated Sampling: Bridging Uniform Sampling and CUR Sampling. IEEE Trans. Pattern Anal. Mach. Intell. HanQin Cai, Longxiu Huang, Pengyu Li, Deanna Needell
2023	A*	`conf`	Nearly Optimal Bounds for Cyclic Forgetting. NeurIPS William Swartworth, Deanna Needell, Rachel A. Ward, Mark Kong, Halyun Jeong
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	B	`conf`	One-Bit Quadratic Compressed Sensing: From Sample Abundance to Linear Feasibility. ISIT Arian Eamaz, Farhang Yeganegi, Deanna Needell, Mojtaba Soltanalian
2023	J	`jnl`	One-Bit Quadratic Compressed Sensing: From Sample Abundance to Linear Feasibility. CoRR Arian Eamaz, Farhang Yeganegi, Deanna Needell, Mojtaba Soltanalian
2023	J	`jnl`	Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruption. CoRR HanQin Cai, Zehan Chao, Longxiu Huang, Deanna Needell
2023	A*	`conf`	SP2 : A Second Order Stochastic Polyak Method. ICLR Shuang Li, William J. Swartworth, Martin Takác, Deanna Needell, Robert M. Gower
2023	J	`jnl`	Selectable Set Randomized Kaczmarz. Numer. Linear Algebra Appl. Yotam Yaniv, Jacob D. Moorman, William Swartworth, Thomas K. Tu, Daji Landis, Deanna Needell
2023	Misc	`conf`	Stochastic Natural Thresholding Algorithms. ACSSC Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2023	J	`jnl`	Stochastic Natural Thresholding Algorithms. CoRR Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2023	Misc	`conf`	Stratified-NMF for Heterogeneous Data. ACSSC James Chapman, Yotam Yaniv, Deanna Needell
2023	J	`jnl`	Stratified-NMF for Heterogeneous Data. CoRR James Chapman, Yotam Yaniv, Deanna Needell
2023	A*	`conf`	Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign? NeurIPS Erin George, Michael Murray, William Swartworth, Deanna Needell
2023	J	`jnl`	Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign? CoRR Erin George, Michael Murray, William Swartworth, Deanna Needell
2022	J	`jnl`	A Convergence Rate for Manifold Neural Networks. CoRR Joyce A. Chew, Deanna Needell, Michael Perlmutter
2022	Misc	`conf`	A Generalized Hierarchical Nonnegative Tensor Decomposition. ICASSP Joshua Vendrow, Jamie Haddock, Deanna Needell
2022	J	`jnl`	Analysis of Spatial and Spatiotemporal Anomalies Using Persistent Homology: Case Studies with COVID-19 Data. SIAM J. Math. Data Sci. Abigail Hickok, Deanna Needell, Mason A. Porter
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`	Continuous Semi-Supervised Nonnegative Matrix Factorization. CoRR Michael R. Lindstrom, Xiaofu Ding, Feng Liu, Anand Somayajula, Deanna Needell
2022	J	`jnl`	Distributed randomized Kaczmarz for the adversarial workers. CoRR Xia Li, Longxiu Huang, Deanna Needell
2022	J	`jnl`	Geometric Scattering on Measure Spaces. CoRR Joyce A. Chew, Matthew J. Hirn, Smita Krishnaswamy, Deanna Needell, Michael Perlmutter, Holly R. Steach, Siddharth Viswanath, Hau-Tieng Wu
2022	J	`jnl`	Guided Semi-Supervised Non-Negative Matrix Factorization. Algorithms Pengyu Li, Christine Tseng, Yaxuan Zheng, Joyce A. Chew, Longxiu Huang, Benjamin Jarman, Deanna Needell
2022	J	`jnl`	Guided Semi-Supervised Non-negative Matrix Factorization on Legal Documents. CoRR Pengyu Li, Christine Tseng, Yaxuan Zheng, Joyce A. Chew, Longxiu Huang, Benjamin Jarman, Deanna Needell
2022	J	`jnl`	Inference of Media Bias and Content Quality Using Natural-Language Processing. CoRR Zehan Chao, Denali Molitor, Deanna Needell, Mason A. Porter
2022	J	`jnl`	Matrix Completion with Cross-Concentrated Sampling: Bridging Uniform Sampling and CUR Sampling. CoRR HanQin Cai, Longxiu Huang, Pengyu Li, Deanna Needell
2022	—	`conf`	Multi-Randomized Kaczmarz for Latent Class Regression. IEEECONF Erin George, Yotam Yaniv, Deanna Needell
2022	J	`jnl`	Multi-Randomized Kaczmarz for Latent Class Regression. CoRR Erin George, Yotam Yaniv, Deanna Needell
2022	Misc	`conf`	On Audio Enhancement via Online Non-Negative Matrix Factorization. CISS Andrew Sack, Wenzhao Jiang, Michael Perlmutter, Palina Salanevich, Deanna Needell
2022	J	`jnl`	On Block Accelerations of Quantile Randomized Kaczmarz for Corrupted Systems of Linear Equations. CoRR Lu Cheng, Benjamin Jarman, Deanna Needell, Elizaveta Rebrova
2022	J	`jnl`	Online Nonnegative CP-dictionary Learning for Markovian Data. J. Mach. Learn. Res. Hanbaek Lyu, Christopher Strohmeier, Deanna Needell
2022	—	`conf`	Online Signal Recovery via Heavy Ball Kaczmarz. IEEECONF Benjamin Jarman, Yotam Yaniv, Deanna Needell
2022	J	`jnl`	Online Signal Recovery via Heavy Ball Kaczmarz. CoRR Benjamin Jarman, Yotam Yaniv, Deanna Needell
2022	C	`conf`	Population-Based Hierarchical Non-Negative Matrix Factorization for Survey Data. BDCAT Xiaofu Ding, Xinyu Dong, Olivia McGough, Chenxin Shen, Annie Ulichney, Ruiyao Xu, William Swartworth, Jocelyn T. Chi, Deanna Needell
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`	SP2: A Second Order Stochastic Polyak Method. CoRR Shuang Li, William J. Swartworth, Martin Takác, Deanna Needell, Robert M. Gower
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
2022	A*	`conf`	Testing Positive Semidefiniteness Using Linear Measurements. FOCS Deanna Needell, William Swartworth, David P. Woodruff
2022	J	`jnl`	Testing Positive Semidefiniteness Using Linear Measurements. CoRR Deanna Needell, William Swartworth, David P. Woodruff
2022	—	`conf`	The Manifold Scattering Transform for High-Dimensional Point Cloud Data. TAG-ML Joyce A. Chew, Holly R. Steach, Siddharth Viswanath, Hau-Tieng Wu, Matthew J. Hirn, Deanna Needell, Matthew D. Vesely, Smita Krishnaswamy, Michael Perlmutter
2022	J	`jnl`	The Manifold Scattering Transform for High-Dimensional Point Cloud Data. CoRR Joyce A. Chew, Holly R. Steach, Siddharth Viswanath, Hau-Tieng Wu, Matthew J. Hirn, Deanna Needell, Smita Krishnaswamy, Michael Perlmutter
2021	J	`jnl`	A Generalized Hierarchical Nonnegative Tensor Decomposition. CoRR Joshua Vendrow, Jamie Haddock, Deanna Needell
2021	—	`conf`	An Untrained One-layer Convolutional Network-based Method for Line Spectral Estimation. ACSCC Shuang Li, Deanna Needell, William Swartworth
2021	J	`jnl`	Analysis of Legal Documents via Non-negative Matrix Factorization Methods. CoRR Ryan Budahazy, Lu Cheng, Yihuan Huang, Andrew Johnson, Pengyu Li, Joshua Vendrow, Zhoutong Wu, Denali Molitor, Elizaveta Rebrova, Deanna Needell
2021	J	`jnl`	Analysis of Spatiotemporal Anomalies Using Persistent Homology: Case Studies with COVID-19 Data. CoRR Abigail Hickok, Deanna Needell, Mason A. Porter
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	—	`conf`	Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition ICCVW HanQin Cai, Zehan Chao, Longxiu Huang, Deanna Needell
2021	J	`jnl`	Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition. CoRR HanQin Cai, Zehan Chao, Longxiu Huang, Deanna Needell
2021	J	`jnl`	HOSVD-Based Algorithm for Weighted Tensor Completion. J. Imaging Zehan Chao, Longxiu Huang, Deanna Needell
2021	J	`jnl`	Lower Memory Oblivious (Tensor) Subspace Embeddings with Fewer Random Bits: Modewise Methods for Least Squares. SIAM J. Matrix Anal. Appl. Mark A. Iwen, Deanna Needell, Elizaveta Rebrova, Ali Zare
2021	J	`jnl`	Mode-wise Tensor Decompositions: Multi-dimensional Generalizations of CUR Decompositions. CoRR HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell
2021	J	`jnl`	Mode-wise Tensor Decompositions: Multi-dimensional Generalizations of CUR Decompositions. J. Mach. Learn. Res. HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell
2021	J	`jnl`	Modewise Operators, the Tensor Restricted Isometry Property, and Low-Rank Tensor Recovery. CoRR Mark A. Iwen, Deanna Needell, Michael Perlmutter, Elizaveta Rebrova
2021	—	`conf`	Neural Nonnegative CP Decomposition for Hierarchical Tensor Analysis. ACSCC Joshua Vendrow, Jamie Haddock, Deanna Needell
2021	J	`jnl`	On Adaptive Sketch-and-Project for Solving Linear Systems. SIAM J. Matrix Anal. Appl. Robert M. Gower, Denali Molitor, Jacob D. Moorman, Deanna Needell
2021	Misc	`conf`	On a Guided Nonnegative Matrix Factorization. ICASSP Joshua Vendrow, Jamie Haddock, Elizaveta Rebrova, Deanna Needell
2021	J	`jnl`	On audio enhancement via online non-negative matrix factorization. CoRR Andrew Sack, Wenzhao Jiang, Michael Perlmutter, Palina Salanevich, Deanna Needell
2021	J	`jnl`	On block Gaussian sketching for the Kaczmarz method. Numer. Algorithms Elizaveta Rebrova, Deanna Needell
2021	—	`conf`	QuantileRK: Solving Large-Scale Linear Systems with Corrupted, Noisy Data. ACSCC Benjamin Jarman, Deanna Needell
2021	J	`jnl`	QuantileRK: Solving Large-Scale Linear Systems with Corrupted, Noisy Data. CoRR Benjamin Jarman, Deanna Needell
2021	B	`conf`	Reconstructing Piezoelectric Responses over a Lattice: Adaptive Sampling of Low Dimensional Time Series Representations Based on Relative Isolation and Gradient Size. SMC Michael R. Lindstrom, William J. Swartworth, Deanna Needell
2021	J	`jnl`	Robust CUR Decomposition: Theory and Imaging Applications. CoRR HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell
2021	J	`jnl`	Robust CUR Decomposition: Theory and Imaging Applications. SIAM J. Imaging Sci. HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell
2021	J	`jnl`	Robust recovery of bandlimited graph signals via randomized dynamical sampling. CoRR Longxiu Huang, Deanna Needell, Sui Tang
2021	J	`jnl`	Selectable Set Randomized Kaczmarz. CoRR Yotam Yaniv, Jacob D. Moorman, William Swartworth, Thomas K. Tu, Daji Landis, Deanna Needell
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
2021	J	`jnl`	Weighted Matrix Completion From Non-Random, Non-Uniform Sampling Patterns. IEEE Trans. Inf. Theory Simon Foucart, Deanna Needell, Reese Pathak, Yaniv Plan, Mary Wootters
2020	Misc	`conf`	An Adaptation for Iterative Structured Matrix Completion. ACSSC Lara Kassab, Henry Adams, Deanna Needell
2020	J	`jnl`	An Iterative Method for Structured Matrix Completion. CoRR Henry Adams, Lara Kassab, Deanna Needell
2020	Misc	`conf`	Applications of Online Nonnegative Matrix Factorization to Image and Time-Series Data. ITA Hanbaek Lyu, Georg Menz, Deanna Needell, Christopher Strohmeier
2020	J	`jnl`	Applications of Online Nonnegative Matrix Factorization to Image and Time-Series Data. CoRR Hanbaek Lyu, Georg Menz, Deanna Needell, Christopher Strohmeier
2020	—	`conf`	COVID-19 Literature Topic-Based Search via Hierarchical NMF. NLP4COVID@EMNLP Rachel Grotheer, Longxiu Huang, Yihuan Huang, Alona Kryshchenko, Oleksandr Kryshchenko, Pengyu Li, Xia Li, Elizaveta Rebrova, Kyung Ha, Deanna Needell
2020	J	`jnl`	COVID-19 Literature Topic-Based Search via Hierarchical NMF. CoRR Rachel Grotheer, Yihuan Huang, Pengyu Li, Elizaveta Rebrova, Deanna Needell, Longxiu Huang, Alona Kryshchenko, Xia Li, Kyung Ha, Oleksandr Kryshchenko
2020	J	`jnl`	COVID-19 Time-series Prediction by Joint Dictionary Learning and Online NMF. CoRR Hanbaek Lyu, Christopher Strohmeier, Georg Menz, Deanna Needell
2020	Misc	`conf`	Clustering of Nonnegative Data and an Application to Matrix Completion. ICASSP Christopher Strohmeier, Deanna Needell
2020	J	`jnl`	Clustering of Nonnegative Data and an Application to Matrix Completion. CoRR Christopher Strohmeier, Deanna Needell
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`	HOSVD-Based Algorithm for Weighted Tensor Completion. CoRR Longxiu Huang, Deanna Needell
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 Nonnegative Matrix and Tensor Decompositions for COVID-19 Twitter Dynamics. CoRR Lara Kassab, Alona Kryshchenko, Hanbaek Lyu, Denali Molitor, Deanna Needell, Elizaveta Rebrova
2020	J	`jnl`	On a Guided Nonnegative Matrix Factorization. CoRR Joshua Vendrow, Jamie Haddock, Elizaveta Rebrova, Deanna Needell
2020	J	`jnl`	Online nonnegative tensor factorization and CP-dictionary learning for Markovian data. CoRR Christopher Strohmeier, Hanbaek Lyu, 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`	Random Vector Functional Link Networks for Function Approximation on Manifolds. CoRR Deanna Needell, Aaron A. Nelson, Rayan Saab, Palina Salanevich
2020	J	`jnl`	Randomized Kaczmarz with Averaging. CoRR Jacob D. Moorman, Thomas K. Tu, Denali Molitor, Deanna Needell
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	Misc	`conf`	Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery. ITA Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2020	Misc	`conf`	Tensor Completion through Total Variation with Initialization from Weighted HOSVD. ITA Zehan Chao, Longxiu Huang, Deanna Needell
2020	J	`jnl`	Tensor Completion through Total Variationwith Initialization from Weighted HOSVD. CoRR Zehan Chao, Longxiu Huang, Deanna Needell
2019	J	`jnl`	Adaptive Sketch-and-Project Methods for Solving Linear Systems. CoRR Robert M. Gower, Denali Molitor, Jacob D. Moorman, Deanna Needell
2019	J	`jnl`	An Approximate Message Passing Framework for Side Information. IEEE Trans. Signal Process. Anna Ma, You Joe Zhou, Cynthia Rush, Dror Baron, Deanna Needell
2019	J	`jnl`	An algebraic perspective on integer sparse recovery. Appl. Math. Comput. Lenny Fukshansky, Deanna Needell, Benny Sudakov
2019	J	`jnl`	Bias of Homotopic Gradient Descent for the Hinge Loss. CoRR Denali Molitor, Deanna Needell, Rachel A. Ward
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	—	`conf`	Fast Hyperspectral Diffuse Optical Imaging Method with Joint Sparsity. EMBC Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2019	J	`jnl`	Hierarchical Classification Using Binary Data. AI Mag. Denali Molitor, Deanna Needell
2019	J	`jnl`	Iterative Hard Thresholding for Low CP-rank Tensor Models. CoRR Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2019	Misc	`conf`	Jointly Sparse Signal Recovery with Prior Info. ACSSC Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2019	J	`jnl`	Lattices From Tight Frames and Vertex Transitive Graphs. Electron. J. Comb. Lenny Fukshansky, Deanna Needell, Josiah Park, Yuxin Xin
2019	A	`conf`	Learning to Predict Human Stress Level with Incomplete Sensor Data from Wearable Devices. CIKM Jyun-Yu Jiang, Zehan Chao, Andrea L. Bertozzi, Wei Wang, Sean D. Young, Deanna Needell
2019	J	`jnl`	Lower Memory Oblivious (Tensor) Subspace Embeddings with Fewer Random Bits: Modewise Methods for Least Squares. CoRR Mark A. Iwen, Deanna Needell, Elizaveta Rebrova, Ali Zare
2019	J	`jnl`	Matrix Completion With Selective Sampling. CoRR Christian Parkinson, Kevin Huynh, Deanna Needell
2019	J	`jnl`	Modified fuzzy clustering with segregated cluster centroids. Neurocomputing Tong Wu, Yicang Zhou, Yanni Xiao, Deanna Needell, Feiping Nie
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`	Online matrix factorization for Markovian data and applications to Network Dictionary Learning. CoRR Hanbaek Lyu, Deanna Needell, Laura Balzano
2019	J	`jnl`	Randomized Projection Methods for Linear Systems with Arbitrarily Large Sparse Corruptions. SIAM J. Sci. Comput. Jamie Haddock, Deanna Needell
2019	Misc	`conf`	Sketching for Motzkin's Iterative Method for Linear Systems. ACSSC Elizaveta Rebrova, Deanna Needell
2019	J	`jnl`	Sketching for Motzkin's Iterative Method for Linear Systems. CoRR Elizaveta Rebrova, Deanna Needell
2019	J	`jnl`	Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery. CoRR Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2019	J	`jnl`	Topic-aware chatbot using Recurrent Neural Networks and Nonnegative Matrix Factorization. CoRR Yuchen Guo, Nicholas Hanoian, Zhexiao Lin, Nicholas Liskij, Hanbaek Lyu, Deanna Needell, Jiahao Qu, Henry Sojico, Yuliang Wang, Zhe Xiong, Zhenhong Zou
2019	J	`jnl`	Weighted matrix completion from non-random, non-uniform sampling patterns. CoRR Simon Foucart, Deanna Needell, Reese Pathak, Yaniv Plan, Mary Wootters
2018	Misc	`conf`	A Bayesian Approach for Asynchronous Parallel Sparse Recovery. ACSSC Alireza Zaeemzadeh, Jamie Haddock, Nazanin Rahnavard, Deanna Needell
2018	Misc	`conf`	A Gradient Descent Approach for Incomplete Linear Systems. ACSSC Anna Ma, Deanna Needell
2018	J	`jnl`	An Approximate Message Passing Framework for Side Information. CoRR Anna Ma, You Joe Zhou, Cynthia Rush, Dror Baron, Deanna Needell
2018	J	`jnl`	An iterative method for classification of binary data. CoRR Denali Molitor, Deanna Needell
2018	Misc	`conf`	Analysis of Fast Alternating Minimization for Structured Dictionary Learning. ITA Saiprasad Ravishankar, Anna Ma, Deanna Needell
2018	J	`jnl`	Analysis of Fast Alternating Minimization for Structured Dictionary Learning. CoRR Saiprasad Ravishankar, Anna Ma, Deanna Needell
2018	J	`jnl`	Analysis of Fast Structured Dictionary Learning. CoRR Saiprasad Ravishankar, Anna Ma, Deanna Needell
2018	J	`jnl`	Compressed Anomaly Detection with Multiple Mixed Observations. CoRR Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2018	J	`jnl`	Hierarchical Classification using Binary Data. CoRR Denali Molitor, Deanna Needell
2018	J	`jnl`	Iterative Methods for Solving Factorized Linear Systems. SIAM J. Matrix Anal. Appl. Anna Ma, Deanna Needell, Aaditya Ramdas
2018	Misc	`conf`	Matrix Completion for Structured Observations. ITA Denali Molitor, Deanna Needell
2018	J	`jnl`	Matrix Completion for Structured Observations. CoRR Denali Molitor, Deanna Needell
2018	J	`jnl`	Optimizing Quantization for Lasso Recovery. IEEE Signal Process. Lett. Xiaoyi Gu, Shenyinying Tu, Hao-Jun Michael Shi, Mindy Case, Deanna Needell, Yaniv Plan
2018	J	`jnl`	Randomized Projection Methods for Corrupted Linear Systems. CoRR Jamie Haddock, Deanna Needell
2018	J	`jnl`	Simple Classification Using Binary Data. J. Mach. Learn. Res. Deanna Needell, Rayan Saab, Tina Woolf
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`	An Asynchronous Parallel Approach to Sparse Recovery. CoRR Deanna Needell, Tina Woolf
2017	Misc	`conf`	An asynchronous parallel approach to sparse recovery. ITA Deanna Needell, Tina Woolf
2017	Misc	`conf`	Conditional approximate message passing with side information. ACSSC Dror Baron, Anna Ma, Deanna Needell, Cynthia Rush, Tina Woolf
2017	J	`jnl`	Exponential Decay of Reconstruction Error From Binary Measurements of Sparse Signals. IEEE Trans. Inf. Theory Richard G. Baraniuk, Simon Foucart, Deanna Needell, Yaniv Plan, Mary Wootters
2017	J	`jnl`	Linear Convergence of Stochastic Iterative Greedy Algorithms With Sparse Constraints. IEEE Trans. Inf. Theory Nam Nguyen, Deanna Needell, Tina Woolf
2017	J	`jnl`	Rows versus Columns: Randomized Kaczmarz or Gauss-Seidel for Ridge Regression. SIAM J. Sci. Comput. Ahmed Hefny, Deanna Needell, Aaditya Ramdas
2017	J	`jnl`	Simple Classification using Binary Data. CoRR Deanna Needell, Rayan Saab, Tina Woolf
2017	—	`conf`	Simple Object Classification Using Binary Data. AAAI Fall Symposia Deanna Needell, Rayan Saab, Tina Woolf
2017	J	`jnl`	Sparse Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement Vectors. CoRR Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2017	J	`jnl`	Stochastic Greedy Algorithms For Multiple Measurement Vectors. CoRR Jing Qin, Shuang Li, Deanna Needell, Anna Ma, Rachel Grotheer, Chenxi Huang, Natalie Durgin
2016	J	`jnl`	A Practical Study of Longitudinal Reference Based Compressed Sensing for MRI. CoRR Samuel Birns, Bohyun Kim, Stephanie Ku, Kevin Stangl, Deanna Needell
2016	J	`jnl`	Batched Stochastic Gradient Descent with Weighted Sampling. CoRR Deanna Needell, Rachel A. Ward
2016	J	`jnl`	Constrained Adaptive Sensing. IEEE Trans. Signal Process. Mark A. Davenport, Andrew K. Massimino, Deanna Needell, Tina Woolf
2016	Misc	`conf`	Methods for quantized compressed sensing. ITA Hao-Jun Michael Shi, Mindy Case, Xiaoyi Gu, Shenyinying Tu, Deanna Needell
2016	J	`jnl`	One-Bit Compressive Sensing of Dictionary-Sparse Signals. CoRR Richard G. Baraniuk, Simon Foucart, Deanna Needell, Yaniv Plan, Mary Wootters
2016	J	`jnl`	Optimizing quantization for Lasso recovery. CoRR Xiaoyi Gu, Shenyinying Tu, Hao-Jun Michael Shi, Mindy Case, Deanna Needell, Yaniv Plan
2016	J	`jnl`	Stochastic gradient descent, weighted sampling, and the randomized Kaczmarz algorithm. Math. Program. Deanna Needell, Nathan Srebro, Rachel A. Ward
2016	J	`jnl`	Tolerant Compressed Sensing With Partially Coherent Sensing Matrices. CoRR Tobias Birnbaum, Yonina C. Eldar, Deanna Needell
2016	J	`jnl`	Weighted ℓ CoRR Deanna Needell, Rayan Saab, Tina Woolf
2015	J	`jnl`	A note on practical approximate projection schemes in signal space methods. CoRR Xiaoyi Gu, Deanna Needell, Shenyinying Tu
2015	J	`jnl`	Block Kaczmarz Method with Inequalities. J. Math. Imaging Vis. Jonathan Briskman, Deanna Needell
2015	J	`jnl`	Compressive Sensing with Redundant Dictionaries and Structured Measurements. CoRR Felix Krahmer, Deanna Needell, Rachel A. Ward
2015	J	`jnl`	Compressive Sensing with Redundant Dictionaries and Structured Measurements. SIAM J. Math. Anal. Felix Krahmer, Deanna Needell, Rachel A. Ward
2015	J	`jnl`	Constrained adaptive sensing. CoRR Mark A. Davenport, Andrew K. Massimino, Deanna Needell, Tina Woolf
2015	J	`jnl`	Convergence Properties of the Randomized Extended Gauss-Seidel and Kaczmarz Methods. SIAM J. Matrix Anal. Appl. Anna Ma, Deanna Needell, Aaditya Ramdas
2015	J	`jnl`	Methods for Quantized Compressed Sensing. CoRR Hao-Jun Michael Shi, Mindy Case, Xiaoyi Gu, Shenyinying Tu, Deanna Needell
2015	J	`jnl`	Near oracle performance and block analysis of signal space greedy methods. J. Approx. Theory Raja Giryes, Deanna Needell
2015	J	`jnl`	One-Bit Compressive Sensing with Partial Support. CoRR Phillip North, Deanna Needell
2015	—	`conf`	One-bit Compressive Sensing with partial support. CAMSAP Phillip North, Deanna Needell
2014	J	`jnl`	A Comparison of Clustering and Missing Data Methods for Health Sciences. CoRR Ran Zhao, Deanna Needell, Christopher Johansen, Jerry L. Grenard
2014	Misc	`conf`	A comparison of clustering and missing data methods for health sciences. ACSSC Ran Zhao, Deanna Needell, Christopher Johansen, Jerry L. Grenard
2014	J	`jnl`	Exponential decay of reconstruction error from binary measurements of sparse signals. CoRR Richard G. Baraniuk, Simon Foucart, Deanna Needell, Yaniv Plan, Mary Wootters
2014	J	`jnl`	Improving Image Clustering using Sparse Text and the Wisdom of the Crowds. CoRR Anna Ma, Arjuna Flenner, Deanna Needell, Allon G. Percus
2014	Misc	`conf`	Improving image clustering using sparse text and the wisdom of the crowds. ACSSC Anna Ma, Arjuna Flenner, Deanna Needell, Allon G. Percus
2014	J	`jnl`	Linear Convergence of Stochastic Iterative Greedy Algorithms with Sparse Constraints. CoRR Nam Nguyen, Deanna Needell, Tina Woolf
2014	J	`jnl`	Near Oracle Performance of Signal Space Greedy Methods. CoRR Raja Giryes, Deanna Needell
2014	J	`jnl`	Practical approximate projection schemes in greedy signal space methods. CoRR Chris Garnatz, Xiaoyi Gu, Alison Kingman, James LaManna, Deanna Needell, Shenyinying Tu
2014	—	`conf`	Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm. NIPS Deanna Needell, Rachel A. Ward, Nathan Srebro
2014	J	`jnl`	Two-Part Reconstruction With Noisy-Sudocodes. IEEE Trans. Signal Process. Yanting Ma, Dror Baron, Deanna Needell
2014	J	`jnl`	Two-Part Reconstruction with Noisy-Sudocodes. CoRR Yanting Ma, Dror Baron, Deanna Needell
2013	J	`jnl`	Greedy Signal Space Methods for incoherence and beyond. CoRR Raja Giryes, Deanna Needell
2013	J	`jnl`	Guaranteed sparse signal recovery with highly coherent sensing matrices. CoRR Guangliang Chen, Atul Divekar, Deanna Needell
2013	B	`conf`	Kaczmarz Algorithm with Soft Constraints for User Interface Layout. ICTAI Noreen Jamil, Deanna Needell, Johannes Müller, Christof Lutteroth, Gerald Weber
2013	J	`jnl`	Kaczmarz Algorithm with Soft Constraints for User Interface Layout. CoRR Noreen Jamil, Deanna Needell, Johannes Müller, Christof Lutteroth, Gerald Weber
2013	J	`jnl`	Near-Optimal Compressed Sensing Guarantees for Total Variation Minimization. IEEE Trans. Image Process. Deanna Needell, Rachel A. Ward
2013	J	`jnl`	On the Mathematics of Music: From Chords to Fourier Analysis. CoRR Nathan Lenssen, Deanna Needell
2013	J	`jnl`	Signal Space CoSaMP for Sparse Recovery With Redundant Dictionaries. IEEE Trans. Inf. Theory Mark A. Davenport, Deanna Needell, Michael B. Wakin
2013	J	`jnl`	Stable Image Reconstruction Using Total Variation Minimization. SIAM J. Imaging Sci. Deanna Needell, Rachel A. Ward
2013	J	`jnl`	Stochastic gradient descent and the randomized Kaczmarz algorithm. CoRR Deanna Needell, Nathan Srebro, Rachel A. Ward
2013	J	`jnl`	Super-resolution via superset selection and pruning CoRR Laurent Demanet, Deanna Needell, Nam Nguyen
2013	J	`jnl`	Two-Part Reconstruction in Compressed Sensing. CoRR Yanting Ma, Dror Baron, Deanna Needell
2013	—	`conf`	Two-part reconstruction in compressed sensing. GlobalSIP Yanting Ma, Dror Baron, Deanna Needell
2013	J	`jnl`	Using Correlated Subset Structure for Compressive Sensing Recovery CoRR Atul Divekar, Deanna Needell
2012	—	`conf`	CoSaMP with redundant dictionaries. ACSCC Mark A. Davenport, Deanna Needell, Michael B. Wakin
2012	J	`jnl`	Paved with Good Intentions: Analysis of a Randomized Block Kaczmarz Method CoRR Deanna Needell, Joel A. Tropp
2012	J	`jnl`	Signal Space CoSaMP for Sparse Recovery with Redundant Dictionaries CoRR Mark A. Davenport, Deanna Needell, Michael B. Wakin
2012	J	`jnl`	Spectral Clustering: An empirical study of Approximation Algorithms and its Application to the Attrition Problem CoRR B. Cung, T. Jin, Juan Ramirez, A. Thompson, Christos Boutsidis, Deanna Needell
2012	J	`jnl`	Stable image reconstruction using total variation minimization CoRR Deanna Needell, Rachel A. Ward
2012	J	`jnl`	Total variation minimization for stable multidimensional signal recovery CoRR Deanna Needell, Rachel A. Ward
2011	J	`jnl`	Acceleration of randomized Kaczmarz method via the Johnson-Lindenstrauss Lemma. Numer. Algorithms Yonina C. Eldar, Deanna Needell
2011	J	`jnl`	Unicity conditions for low-rank matrix recovery CoRR Yonina C. Eldar, Deanna Needell, Yaniv Plan
2010	J	`jnl`	CoSaMP: iterative signal recovery from incomplete and inaccurate samples. Commun. ACM Deanna Needell, Joel A. Tropp
2010	J	`jnl`	Compressed Sensing with Coherent and Redundant Dictionaries CoRR Emmanuel J. Candès, Yonina C. Eldar, Deanna Needell
2010	Misc	`conf`	Mixed operators in compressed sensing. CISS Matthew A. Herman, Deanna Needell
2010	J	`jnl`	Signal Recovery From Incomplete and Inaccurate Measurements Via Regularized Orthogonal Matching Pursuit. IEEE J. Sel. Top. Signal Process. Deanna Needell, Roman Vershynin
2009	J	`jnl`	Noisy Signal Recovery via Iterative Reweighted L1-Minimization CoRR Deanna Needell
2009	J	`jnl`	Topics in Compressed Sensing CoRR Deanna Needell
2009	J	`jnl`	Uniform Uncertainty Principle and Signal Recovery via Regularized Orthogonal Matching Pursuit. Found. Comput. Math. Deanna Needell, Roman Vershynin
2008	J	`jnl`	CoSaMP: Iterative signal recovery from incomplete and inaccurate samples CoRR Joel A. Tropp, Deanna Needell
2008	J	`jnl`	Greedy Signal Recovery Review CoRR Deanna Needell, Joel A. Tropp, Roman Vershynin
2008	—	`conf`	Greedy signal recovery and uncertainty principles. Computational Imaging Deanna Needell, Roman Vershynin
2008	—	`conf`	Greedy signal recovery review. ACSCC Deanna Needell, Joel A. Tropp, Roman Vershynin
2003	—	`conf`	Software Requirements Specification of a University Class Scheduler. Software Engineering Research and Practice Deanna Needell, Jeff A. Stuart, Tamara C. Thiel, Sergiu Dascalu, Frederick C. Harris Jr.