Deanna Needell

Preprints

  1. "Benign overfitting in leaky ReLU networks with moderate input dimension"
    K. Karhadkar, E. George, M. Murray, G. Montufar, D. Needell.
    Submitted, 2024.
    [ Arxiv ]    [ Bibtex ]

  2. "Block Matrix and Tensor Randomized Kaczmarz Methods for Linear Feasibility Problems"
    M. Zhang, J. Haddock, D. Needell.
    Submitted, 2024.
    [ Arxiv ]    [ Bibtex ]

  3. "Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems"
    M. Dereziński, D. LeJeune, D. Needell, E. Rebrova.
    Submitted.
    [ Arxiv ]    [ Bibtex ]

  4. "Kernel Alignment for Unsupervised Feature Selection via Matrix Factorization"
    Z. Lin, D. Needell.
    Submitted, 2024.
    [ Arxiv ]    [ Bibtex ]

  5. "Stochastic gradient descent for streaming linear and rectified linear systems with Massart noise"
    H. Jeong, D. Needell, E. Rebrova.
    Submitted, 2024.
    [ Arxiv ]    [ Bibtex ]

  6. "Fast and Low-Memory Compressive Sensing Algorithms for Low Tucker-Rank Tensor Approximation from Streamed Measurements"
    C. Haselby, M. Iwen, D. Needell, E. Rebrova, W. Swartworth.
    Submitted, 2023.
    [ Arxiv ]    [ Bibtex ]

  7. "Manifold Filter-Combine Networks"
    J. Chew, E. De Brouwer, S. Krishnaswamy, D. Needell, M. Perlmutter.
    Submitted, 2023.
    [ Arxiv ]    [ Bibtex ]

  8. "Curvature corrected tangent space-based approximation of manifold-valued data"
    W. Diepeveen, J. Chew, D. Needell.
    Submitted, 2023.
    [ Arxiv ]    [ Bibtex ]

  9. "Detecting and Mitigating Indirect Stereotypes in Word Embeddings"
    E. George, J. Chew, D. Needell.
    Submitted, 2023.
    [ Arxiv ]    [ Bibtex ]

  10. "Linear Convergence of Reshuffling Kaczmarz Methods With Sparse Constraints"
    H. Jeong, D. Needell.
    Submitted, 2023.
    [ Arxiv ]    [ Bibtex ]    [ Code ]

  11. "Inference of Media Bias and Content Quality Using Natural-Language Processing"
    by Z. Chao, D. Molitor, D. Needell, M. Porter.
    Submitted, 2022.
    [ Arxiv ]    [ Bibtex ]

  12. "Sketched Gaussian Model Linear Discriminant Analysis via the Randomized Kaczmarz Method"
    by J. T. Chi, D. Needell.
    Submitted, 2022.
    [ Arxiv ]    [ Bibtex ]

    Journal Papers

  13. "Harnessing the Power of Sample Abundance: Theoretical Guarantees and Algorithms for Accelerated One-Bit Sensing"
    A. Eamaz, F. Yeganegi, D. Needell, M. Soltanalian.
    IEEE Transactions on Information Theory, to appear, 2024.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  14. "Sparseness-constrained Nonnegative Tensor Factorization for Detecting Topics at Different Time Scales"
    by L. Kassab, A. Kryshchenko, H. Lyu, D. Molitor, D. Needell, E. Rebrova, J. Yuan.
    Frontiers in Applied Mathematics and Statistics, to appear, 2024
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  15. "Stochastic Iterative Methods for Online Rank Aggregation from Pairwise Comparisons"
    B. Jarman, L. Kassab, D. Needell, A. Sietsema.
    BIT Numerical Mathematics, To appear, 2024.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  16. "Robust recovery of bandlimited graph signals via randomized dynamical sampling"
    by L. Huang, D. Needell, S. Tang.
    Information and Inference, to appear, 2024.
    [ Arxiv ]    [ Bibtex ]

  17. "Federated Gradient Matching Pursuit"
    H. Jeong, D. Needell, J. Qin.
    IEEE Trans. Information Theory, to appear, 2024.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  18. "Random Vector Functional Link Networks for Function Approximation on Manifolds"
    by D. Needell, A. A. Nelson, R. Saab, P. Salanevich.
    Frontiers in Applied Mathematics and Statistics-Optimization, to appear, 2024.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  19. "Randomized Kaczmarz in Adversarial Distributed Setting"
    by X. Li, L. Huang, D. Needell.
    SIAM Journal on Scientific Computing, to appear, 2024.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  20. "Geometric Scattering on Measure Spaces"
    by J. Chew, M. Hirn, S. Krishnaswamy, D. Needell, M. Perlmutter, H. Steach, S. Viswanath, H-T. Wu.
    Applied and Computational Harmonic Analysis, to appear, 2024.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  21. "Iterative Singular Tube Hard Thresholding Algorithms for Tensor Completion"
    R. Grotheer, S. Li, A. Ma, D. Needell, J. Qin.
    Inverse Problems and Imaging, to appear, 2024.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  22. "Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling"
    by M. Gao, J. Haddock, D. Molitor, D. Needell, E. Sadovnik, T. Will, R. Zhang.
    Sampling Theory, Signal Processing, and Data Analysis, to appear, 2023.
    [ Arxiv ]    [ Bibtex ]

  23. "Robust Tensor CUR: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruptions"
    by H. Cai, Z. Chao, L. Huang, D. Needell.
    SIAM Journal on Imaging Sciences, to appear, 2023.
    [ Arxiv ]    [ Bibtex ]

  24. "Modewise Operators, the Tensor Restricted Isometry Property, and Low-Rank Tensor Recovery"
    by M. A. Iwen, D. Needell, M. Perlmutter, E. Rebrova.
    Applied Computational Harmonic Analysis, vol. 66, pp. 161--192, 2023.
    [ Arxiv ]    [ Bibtex ]

  25. "Multi-scale Hybridized Topic Modeling: A Pipeline for Analyzing Unstructured Text Datasets via Topic Modeling"
    by K. Cheng, S. Inzer, A. Leung, X. Shen, M., Perlmutter, M. Lindstrom, J. Chew, T. Presner, D. Needell
    SIAM Undergraduate Research Online (SIURO), 2023.
    [ Arxiv ]    [ Bibtex ]

  26. "Matrix Completion with Cross-Concentrated Sampling: Bridging Uniform Sampling and CUR Sampling"
    by H. Cai, L. Huang, P. Li, D. Needell.
    IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, num. 8, pp. 10100 - 10113, 2023.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  27. "Continuous Semi-Supervised Nonnegative Matrix Factorization"
    by M. R. Lindstrom, X. Ding, F. Liu, A. Somayajula, D. Needell.
    Algorithms, vol. 16, num. 4, pp. 187, 2023.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  28. "On Block Accelerations of Quantile Randomized Kaczmarz for Corrupted Systems of Linear Equations"
    by L. Cheng, B. Jarman, D. Needell, E. Rebrova.
    Inverse Problems, vol. 39, num. 2, pp. 024002, 2022.
    [ Arxiv ]    [ Bibtex ]

  29. "Analysis of Spatiotemporal Anomalies Using Persistent Homology: Case Studies with COVID-19 Data"
    by A. Hickok, D. Needell, M. A. Porter.
    SIAM Journal on Mathematics of Data Science, vol. 4, num. 3, pp. 1116-1144, 2022.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  30. "Selectable Set Randomized Kaczmarz"
    by Y. Yaniv, J. Moorman, W. Swartworth, T. Tu, D. Landis, D. Needell.
    Numerical Linear Algebra with Applications, e2458, 2022.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  31. "Analysis of Legal Documents via Non-negative Matrix Factorization Methods"
    by R. Budahazy, L. Cheng, Y. Huang, A. Johnson, P. Li, J. Vendrow, Z. Wu, D. Molitor, E. Rebrova, D. Needell.
    SIAM Undergraduate Research Online, vol. 15, 2022.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  32. "Guided Semi-Supervised Non-negative Matrix Factorization"
    by P. Li , C. Tseng, Y. Zheng, J. A. Chew, L. Huang, B. Jarman, D. Needell.
    Algorithms, vol. 15, num. 5, pp. 136, 2022.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  33. "Statistical Learning for Best Practices in Tattoo Removal"
    by R. Yim, J. Haddock, D. Needell.
    SIAM Undergraduate Research Online, vol. 15, 2022.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  34. "Online Nonnegative CP-dictionary Learning for Markovian Data"
    by C. Strohmeier, H. Lyu, D. Needell.
    Journal of Machine Learning Research, vol. 23, num. 148, pp. 1-50, 2022.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  35. "Quantile-based Iterative Methods for Corrupted Systems of Linear Equations"
    by J. Haddock, D. Needell, E. Rebrova, W. Swartworth.
    SIAM Journal on Matrix Analysis and Applications, vol. 43, num. 2, pp. 605-637, 2022.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  36. "An Adaptation for Iterative Structured Matrix Completion"
    by H. Adams, L. Kassab, D. Needell.
    Foundations of Data Science, vol. 3, iss. 4, pp. 769-824, 2021.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  37. "Iterative Hard Thresholding for Low CP-rank Tensor Models"
    by R. Grotheer, A. Ma, D. Needell, S. Li, J. Qin.
    Linear and Multilinear Algebra, pp 1-17, 2021.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]    [ Code ]

  38. "Robust CUR Decomposition: Theory and Imaging Applications"
    by H. Cai, K. Hamm, L. Huang, D. Needell.
    SIAM Journal on Imaging Sciences, vol. 14, no. 4, pp. 1472-1503, 2021.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  39. "HOSVD-Based Algorithm for Weighted Tensor Completion"
    by L. Huang, D. Needell.
    Journal of Imaging, vol. 7, num. 7, pp.110, 2021.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  40. "Mode-wise Tensor Decompositions: Multi-dimensional Generalizations of CUR Decompositions"
    by H. Cai, K. Hamm, L. Huang, D. Needell.
    Journal of Machine Learning Research, vol. 22, num. 185, pp.1−36, 2022.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  41. "On adaptive sketch-and-project for solving linear systems "
    by R. Gower, D. Molitor, J. Moorman, D. Needell.
    SIAM Journal on Matrix Analysis and Applications, vol. 42, num. 2, pp. 954-989, 2021.
    [ Arxiv ]    [ Bibtex ]

  42. "Data-driven Algorithm Selection in Optimization and Signal Processing"
    by J. De Loera, J. Haddock, A. Ma and D. Needell.
    Annals of Mathematics and Artificial Intelligence, pp 1--25, 2020.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  43. "Feature selection from lyme disease patient survey using machine learning "
    by J. Vendrow, J. Haddock, D. Needell, L. Johnson.
    Algorithms, vol. 13, num. 12, pp. 334, 2020.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  44. "Lower Memory Oblivious (Tensor) Subspace Embeddings with Fewer Random Bits: Modewise Methods for Least Squares"
    by M. A. Iwen, D. Needell, E. Rebrova, and A. Zare.
    SIAM Journal on Matrix Analysis and Applications, vol. 42, no. 1, pp. 376--416, 2021.
    [ Arxiv ]    [ Bibtex ]

  45. "Online matrix factorization for markovian data and applications to network dictionary learning"
    by H. Lyu, D. Needell, L. Balzano.
    Journal of Machine Learning Research, vol. 21, num. 251, pp. 1-49, 2020.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  46. "Weighted matrix completion from non-random, non-uniform sampling patterns"
    by S. Foucart, D. Needell, R. Pathak, Y. Plan, M. Wootters.
    IEEE Transactions on Information Theory, vol. 67, num. 2, pp. 1264-1290, 2020.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  47. "Antibiotic Treatment Response In Chronic Lyme Disease: Why Do Some Patients Improve While Others Do Not?"
    by L. Johnson, M. Shapiro, R. Stricker, J. Vendrow, J. Haddock, D. Needell.
    Healthcare (Basel), vol. 8, num. 4, pp. 383, 2020.
    [ Bibtex ]    [ Journal ]

  48. "Stochastic Greedy Algorithms For Multiple Measurement Vectors"
    by J. Qin, S. Li, D. Needell, A. Ma, R. Grotheer, C. Huang, N. Durgin.
    Inverse Problems and Imaging, vol. 15, num. 1, pp. 79-107, 2021.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  49. "Randomized Kaczmarz with Averaging"
    by J. Moorman, T. Tu, D. Molitor, D. Needell.
    BIT Numerical Mathematics, vol. 61, num. 1, pp. 337-359, 2021.
    [ Journal ]    [ Arxiv ]    [ Bibtex ]

  50. "An iterative method for classification of binary data"
    by D. Molitor and D. Needell.
    Information and Inference, vol. 10, num. 1, pp. 261-283, 2021.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  51. "On block Gaussian sketching for the Kaczmarz method"
    by E. Rebrova, D. Needell.
    Numerical Algorithms, pp. 1-31, 2020.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  52. "Bias of Homotopic Gradient Descent for the Hinge Loss"
    by D. Molitor, D. Needell and R. Ward.
    Applied Mathematics and Optimization, pp. 1-27, 2020.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  53. "Tribracket Modules"
    by D. Needell, S. Nelson, and Y. Shi.
    International Journal of Mathematics, vol. 31, num. 4, 2020.
    [ Arxiv ]    [ Bibtex ]

  54. "Lattices from tight frames and vertex transitive graphs"
    by L. Fukshansky, D. Needell, J. Park, Y. Xin
    Electronic Journal of Combinatorics, vol. 26, iss. 3, 2019.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  55. "Analysis of Fast Structured Dictionary Learning"
    by S. Ravishankar, A. Ma and D. Needell.
    Information and Inference, vol. 9, num. 4, pp. 785-811, 2020.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  56. "Modified Fuzzy Clustering with Segregated Cluster Centroids"
    by T. Wu, Y. Zhou, Y. Xiao, D. Needell, F. Nie.
    Neurocomputing, vol. 361, pp. 10-18, 2019.
    [ Journal ]    [ Bibtex ]

  57. "An Approximate Message Passing Framework for Side Information"
    by A. Ma, Y. Zhou, C. Rush, D. Baron and D. Needell.
    IEEE Transactions on Signal Processing, vol. 67, iss. 7, pp 1875--1888, 2019.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  58. "Randomized Projection Methods for Linear Systems with Arbitrarily Large Sparse Corruptions"
    by J. Haddock, D. Needell.
    SIAM Journal on Scientific Computing, vol. 41, iss. 5, pp. S19-S36, 2019.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  59. "On Motzkin's Method for Inconsistent Linear Systems"
    by J. Haddock, D. Needell.
    BIT Numerical Mathematics, vol. 59, num. 2, pp. 387-401, 2019.
    [ Arxiv ]    [ Journal ]    [ Open Journal ]   [ Bibtex ]

  60. "Simple Classification using Binary Data"
    by D. Needell, R. Saab, T. Woolf.
    Journal of Machine Learning Research, vol. 19, num. 61, pp. 1--30, 2018.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]    [ Code ]

  61. "Convergence of the Randomized Block Gauss-Seidel Method"
    by W. Wu and D. Needell.
    SIAM Undergraduate Research Online (SIURO), Vol. 11, pp. 369-382, 2018.
    [ Journal ]    [ Bibtex ]

  62. "Large Data Analysis and Lyme Disease"
    by D. Needell.
    AMS Notices, vol. 66, num. 1, pp 8--15, Jan. 2019.
    [ Journal ]    [ Bibtex ]

  63. "Boltzmann Enhancements of Biquasile Counting Invariants"
    by W. Choi, D. Needell and S. Nelson.
    Journal of Knot Theory and its Ramifications, Vol. 27, Iss. 14, 1850068, 2018.
    [ Arxiv ]    [ Bibtex ]

  64. "An algebraic perspective on integer sparse recovery"
    by L. Fukshansky, D. Needell, B. Sudakov.
    Applied Mathematics and Computation, vol. 340, pp. 31--42, 2019.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  65. "Stochastic Gradient Descent for Linear Systems with Missing Data"
    by A. Ma and D. Needell.
    Numerical Mathematics: Theory, Methods and Applications, vol. 12, num. 1, pp. 1--20, 2017.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  66. "Hierarchical Classification using Binary Data"
    by D. Molitor, D. Needell.
    AAAI Magazine special Issue on Deep Models, Machine Learning and Artificial Intelligence Applications in National and International Security, June, 2018.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  67. "Optimizing quantization for Lasso recovery"
    X. Gu, S. Tu, H-J.M. Shi, M. Case, D. Needell, and Y. Plan.
    IEEE Signal Processing Letters, vol. 25, iss. 1, pp. 45--49, 2017.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  68. "Iterative methods for solving factorized linear systems"
    by A. Ma, D. Needell and A. Ramdas.
    SIAM Journal on Matrix Analysis and Applications, vol. 39, iss. 1, pp. 104-122, 2018.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  69. "One-Bit Compressive Sensing of Dictionary-Sparse Signals"
    by R. Baraniuk, S. Foucart, D. Needell, Y. Plan, M. Wootters.
    Information and Inference, vol. 7, num. 1, pp. 83--104, 2017.
    [ Arxiv ]    [ Journal ]   [ Bibtex ]

  70. "RBF-based regional geoid model of Iran"
    by A. Safari, S. A. Saadat, D. Needell.
    Studia Geophysica et Geodaetica, vol. 62, iss. 3, pp. 380--407, 2018.
    [ Journal ]     [ Bibtex ]

  71. "Linear Convergence of Stochastic Iterative Greedy Algorithms with Sparse Constraints"
    by N. Nguyen, D. Needell, and T. Woolf.
    IEEE Transactions on Information Theory, vol. 63, num. 11, pp. 6869--6895, 2017.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]    [ Code ]

  72. "Biquasiles and Dual Graph Diagrams"
    by D. Needell and S. Nelson.
    Journal of Knot Theory and Its Ramifications, vol. 26, num. 8, 2017.
    [ Arxiv ]    [ Bibtex ]

  73. "Rows versus Columns: Randomized Kaczmarz or Gauss-Seidel for Ridge Regression"
    by A. Hefny, D. Needell, A. Ramdas.
    SIAM Journal of Scientific Computing, vol. 39, num. 5, pp. S528-S542, 2017.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  74. "Exponential decay of reconstruction error from binary measurements of sparse signals"
    by R. Baraniuk, S. Foucart, D. Needell, Y. Plan, M. Wootters
    IEEE Trans. Information Theory, vol. 63, num. 6, 3368 - 3385, 2017.
    [ Arxiv ]     [ Journal ]    [ Bibtex ]

  75. "On practical approximate projection schemes in signal space methods"
    by X. Gu, D. Needell, and S. Tu.
    SIAM Undergraduate Research Online, Vol. 9, pp. 422-434, 2016.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  76. "Weighted L1-Minimization for Sparse Recovery under Arbitrary Prior Information"
    by D. Needell, R. Saab, T. Woolf.
    Information and Inference, vol. 6, num. 3, pp. 284--309, 2017.
    [ Arxiv ]     [ Journal ]     [ Bibtex ]     [ Code ]

  77. "A Sampling Kaczmarz-Motzkin Algorithm for Linear Feasibility"
    by J. A. De Loera, J. Haddock, D. Needell.
    SIAM Journal on Scientific Computing, Vol. 39, Iss. 5, pp. S66-87, 2017.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  78. "A Practical Study of Longitudinal Reference Based Compressed Sensing for MRI"
    by S. Birns, B. Kim, S. Ku, K. Stangl, D. Needell.
    Rose-Hulman Undergraduate Mathematics Journal, Vol. 17, Iss. 2, pp 1--24, 2016.
    [ Arxiv ]     [ Bibtex ]

  79. "Lattices from equiangular tight frames"
    by A. Böttcher, L. Fukshansky, S. Garcia, H. Maharaj, D. Needell.
    Linear Algebra and its Applications, vol. 510, 395 - 420, 2016.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  80. "Constrained Adaptive Sensing"
    by M. Davenport, A. Massimino, D. Needell, and T. Woolf.
    IEEE Transactions on Signal Processing, vol. 64, num. 20, 5437 - 5449, 2016.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]    [ Code ]

  81. "Convergence properties of the randomized extended Gauss-Seidel and Kaczmarz methods"
    by A. Ma, D. Needell and A. Ramdas.
    SIAM Journal on Matrix Analysis and Applications, vol. 36, num. 4, 1590 - 1604, 2015.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  82. "Compressive Sensing with Redundant Dictionaries and Structured Measurements"
    by F. Krahmer, D. Needell and R. Ward.
    SIAM Journal on Mathematical Analysis, vol. 47, num. 6, 4606 - 4629, 2015.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  83. "Sparse reconstruction of regional gravity signal based on Stabilized Orthogonal Matching Pursuit"
    by S. A. Saadat, A. Safari and D. Needell.
    Pure and Applied Geophysics, 1 - 13, 2015.
    [ Journal ]     [ Bibtex ]

  84. "Randomized Block Kaczmarz Method with Projection for Solving Least Squares"
    by D. Needell, R. Zhao, A. Zouzias.
    Linear Algebra and its Applications, vol. 484, 322 - 343, 2015.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  85. "Near Oracle Performance and Block Analysis of Signal Space Greedy Methods"
    by R. Giryes, D. Needell.
    Journal of Approximation Theory, vol. 194, 157 - 174, 2015.
    [ Arxiv ]    [Journal]    [ Bibtex ]

  86. "Stochastic Gradient Descent and the Randomized Kaczmarz algorithm"
    by D. Needell, N. Srebro, R. Ward.
    Mathematical Programming Series A, vol. 155, num. 1, 549 - 573, 2016.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  87. "Block Kaczmarz Method with Inequalities"
    by J. Briskman and D. Needell.
    Journal of Mathematical Imaging and Vision, vol. 52, num. 3, 385 - 396, 2015.
    [ Arxiv ]    [ Journal ]   [ Bibtex ]

  88. "Two-Part Reconstruction with Noisy-Sudocodes"
    by Y. Ma, D. Baron and D. Needell.
    IEEE Transactions on Signal Processing, vol. 62, iss. 23, 6323 - 6334, 2014.
    [ Arxiv ]    [ Journal ]    [ Code ]     [ Bibtex ]

  89. "Greedy Signal Space Methods for Incoherence and Beyond"
    by R. Giryes and D. Needell
    Applied and Computational Harmonic Analysis, vol. 39, iss. 1, 1 - 20, 2015.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  90. "Guaranteed sparse signal recovery with highly coherent sensing matrices"
    by G. Chen, A. Divekar, D. Needell.
    Sampling Theory in Signal Analysis and Image Processing, to appear.
    [ Arxiv ]   [ Journal ]    [ Bibtex ]

  91. "Signal Space CoSaMP for Sparse Recovery with Redundant Dictionaries"
    by M. A. Davenport, D. Needell and M. B. Wakin
    IEEE Transactions on Information Theory, vol. 59, iss. 10, 6820 - 6829, 2013.
    [ Arxiv ]   [ Journal ]    [ Bibtex ]   [ Code ]

  92. "On the Mathematics of Music: From Chords to Fourier Analysis"
    by N. Lenssen and D. Needell
    Journal of Humanistic Mathematics, vol. 4, iss. 1, pp 72-91, 2014.
    [ Arxiv ]   [ Journal ]    [ Bibtex ]

  93. "Near-optimal compressed sensing guarantees for total variation minimization"
    by D. Needell and R. Ward
    IEEE Transactions on Image Processing, vol. 22, iss. 10, pp. 3941 - 3949, 2013.
    [ Arxiv ]   [ Journal ]    [ Bibtex ]

  94. "Paved with Good Intentions: Analysis of a Randomized Block Kaczmarz Method"
    by D. Needell and J. A. Tropp
    Linear Algebra and its Applications, vol. 441, pp. 199-221, 2014.
    [ Arxiv ]   [ Journal ]    [ Bibtex ]

  95. "Spectral Clustering: An empirical study of Approximation Algorithms and its Application to the Attrition Problem"
    by B. Cung, T. Jin, J. Ramirez, A. Thompson, C. Boutsidis and D. Needell
    SIAM Undergraduate Research Journal, vol. 5, pp. 283-303, 2012.
    [ Arxiv ]    [ Journal ]    [ Bibtex ]

  96. "Stable image reconstruction using total variation minimization"
    by D. Needell and R. Ward
    SIAM Journal on Imaging Sciences, vol. 6, num. 2, pp. 1035-1058, 2013.
    [ Arxiv ]   [ Journal ]    [ Bibtex ]

  97. "Two-subspace Projection Method for Coherent Overdetermined Systems"
    by D. Needell and R. Ward
    Journal of Fourier Analysis and Applications, vol. 19, num. 2, pp. 256-269, 2013.
    [ Arxiv ]   [ Journal ]    [ Bibtex ]

  98. "Uniqueness Conditions For Low-Rank Matrix Recovery"
    by Y. C. Eldar, D. Needell and Y. Plan
    Applied and Computational Harmonic Analysis, vol. 33, num. 2, pp. 309-314, 2012.
    [ Arxiv ]   [ Journal ]    [ Bibtex ]

  99. "Robust Principal Component Analysis Conditions"
    by M. Hornstein, Adviser D. Needell
    Rose-Hulman Undergraduate Mathematics Journal, vol. 12, num. 2, pp.137-161, 2011.
    [ Journal ]    [ Bibtex ]

  100. "Acceleration of Randomized Kaczmarz Method via the Johnson-Lindenstrauss Lemma"
    by Y. C. Eldar and D. Needell
    Numerical Algorithms, vol. 58, num. 2, pp. 163-177, 2011.
    [ Arxiv ]   [ Journal ]    [ Bibtex ]

  101. "Compressed sensing with coherent and redundant dictionaries"
    by E. J. Candès, Y. C. Eldar, D. Needell and P. Randall
    Applied and Computational Harmonic Analysis, vol. 31, num. 1, pp. 59-73, 2010.
    2011-2016 Top 5 Hottest ACHA Article
    [ Arxiv ]   [ Journal ]    [ Bibtex ]

  102. "Randomized Kaczmarz solver for noisy linear systems"
    by D. Needell
    BIT Numerical Mathematics, vol. 50, num. 2, pp. 395-403, 2010.
    [ Arxiv ]   [ Journal ]    [ Bibtex ]

  103. "CoSaMP: Iterative signal recovery from incomplete and inaccurate samples"
    by D. Needell and J. A. Tropp.
    Applied and Computational Harmonic Analysis, vol. 26, num. 3, pp. 301-321, 2008.
    Selected as the ScienceWatch fast-breaking paper in mathematics, Aug. 2010.
    2009-2018 Top 3 Hottest ACHA Article
    [ Arxiv ]   [ Journal ]    [ Bibtex ]

  104. "Signal Recovery from Inaccurate and Incomplete Measurements via Regularized Orthogonal Matching Pursuit"
    by D. Needell and R. Vershynin.
    IEEE Journal of Selected Topics in Signal Processing, vol. 4, pp. 310-316, 2010.
    2012 IEEE Best Young Author Paper Award
    [ Arxiv ]   [ Journal ]    [ Bibtex ]

  105. "Uniform Uncertainty Principle and signal recovery via Regularized Orthogonal Matching Pursuit"
    by D. Needell and R. Vershynin.
    Foundations of Computational Mathematics, vol. 9, num. 3, pp. 317-334, 2009.
    [ Arxiv ]   [ Journal ]    [ Bibtex ]

    Conference Papers

  106. "Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms"
    Y. Li, L. Balzano, D. Needell, H. Lyu.
    International Conference on Machine Learning (ICML), to appear, 2024.
    [ Arxiv ]   [ Bibtex ]

  107. "Towards understanding Neurological manifestations of Lyme disease through a machine learning approach with patient registry data"
    L. Johnson, L. Kassab, J. Liu, D. Needell, M. Shapiro.
    PharmaSUG, 2024.
    [ Bibtex ]

  108. "Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign?"
    E. George, M. Murray, W. Swartworth, D. Needell.
    Neural Information Processing Systems (NeurIPS), Spotlight paper, 2023.
    [ Arxiv ]    [ Bibtex ]

  109. "Nearly Optimal Bounds for Cyclic Forgetting"
    M. Kong, W. Swartworth, H. Jeong, D. Needell, R. Ward.
    Neural Information Processing Systems (NeurIPS), 2023.
    [ Arxiv ]    [ Bibtex ]

  110. "Stratified NMF for Heterogeneous Data"
    J. Chapman, Y. Yaniv, D. Needell.
    Proc. 55th Asilomar Conf. on Signals, Systems and Computers, Pacific Grove, CA, 2023.
    [ Arxiv ]    [ Bibtex ]

  111. "Stochastic Natural Thresholding Algorithms"
    R. Grotheer, S. Li, A. Ma, D. Needell, J. Qin.
    Proc. 55th Asilomar Conf. on Signals, Systems and Computers, Pacific Grove, CA, 2023.
    [ Arxiv ]    [ Bibtex ]

  112. "A Convergence Rate for Manifold Neural Networks"
    J. Chew, D. Needell, M. Perlmutter.
    Proc. Int. Conf. Sampling Theory and Applications (SAMPTA), 2023.
    [ Arxiv ]    [ Bibtex ]

  113. "One-Bit Quadratic Compressed Sensing: From Sample Abundance to Linear Feasibility"
    A. Eamaz, F. Yeganegi, D. Needell, M. Soltanalian.
    IEEE Int. Sym. Information Theory (ISIT), 2023.
    [ Arxiv ]    [ Bibtex ]

  114. "SP2: A Second Order Stochastic Polyak Method"
    by S. Li, W. J. Swartworth, M. Takac, D. Needell, R. M. Gower.
    Proc. International Conference on Learning Representations (ICLR), 2023.
    [ Arxiv ]    [ Bibtex ]

  115. "Multi-Randomized Kaczmarz for Latent Class Regression"
    by E. George, Y. Yaniv, D. Needell.
    Proc. 54th Asilomar Conf. on Signals, Systems and Computers, Pacific Grove, CA, 2022.
    [ Arxiv ]    [ Proceedings ]    [ Bibtex ]

  116. "Interpretability of Automatic Infectious Disease Classification Analysis with Concept Discovery"
    by E. Sizikova, J. Vendrow, X. Cao, R. Grotheer, J. Haddock, L. Kassab, A. Kryshchenko, T. Merkh, R. W. M. A. Madushani, K. Moise, A. Ulichney, H. V. Vo, C. Wang, M. Coffee, K. Leonard, D. Needell.
    Proc. Machine Learning for Health (ML4H), New Orleans, LA, 2022.
    [ Arxiv ]    [ Bibtex ]

  117. "Online Signal Recovery via Heavy Ball Kaczmarz"
    by B. Jarman, Y. Yaniv, D. Needell.
    Proc. 54th Asilomar Conf. on Signals, Systems and Computers, Pacific Grove, CA, 2022.
    [ Arxiv ]    [ Proceedings ]    [ Bibtex ]

  118. "Population-Based Hierarchical Non-negative Matrix Factorization for Survey Data"
    by X. Ding, X. Dong, O. McGough, C. Shen, A. Ulichney, R. Xu, W. Swartworth, J. T. Chi, D. Needell.
    Proc. IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, 2022.
    [ Arxiv ]    [ Bibtex ]

  119. "Testing Positive Semidefiniteness Using Linear Measurements"
    by D. Needell, W. Swartworth, D. Woodruff.
    IEEE Symp. on Foundations of Computer Science (FOCS), to appear, 2022.
    [ Arxiv ]    [ Bibtex ]

  120. "The Manifold Scattering Transform for High-Dimensional Point Cloud Data"
    by J. Chew, H. Steach, S. Viswanath, H-T. Wu, M. Hirn, D. Needell, S. Krishnaswamy, M. Perlmutter.
    ICML Workshop on Topology Algebra and Geometry in Machine Learning, 2022.
    [ Arxiv ]    [ Bibtex ]

  121. "On audio enhancement via online non-negative matrix factorization"
    by A. Sack, W. Jiang, M. Perlmutter, P. Salanevich, D. Needell.
    Conference on Information Sciences and Systems (CISS), 2022.
    [ Arxiv ]    [ Bibtex ]

  122. "A Generalized Hierarchical Nonnegative Tensor Decomposition"
    by J. Vendrow, J. Haddock, D. Needell.
    IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2022.
    [ Arxiv ]    [ Proceedings ]    [ Bibtex ]

  123. "Using matrix factorizations for interpretability"
    by L. Balzano, H. Lyu, D. Needell.
    Oberwolfach: Applied Harmonic Analysis and Data Science, to appear, 2021.
    [ Bibtex ]

  124. "Reconstructing piezoelectric responses over a lattice: adaptive sampling of low dimensional time series representations based on relative isolation and gradient size"
    by M. Lindstrom, W. Swartworth, D. Needell.
    Smoky Mountains Computational Sciences and Engineering Conference, pp. 420-429, 2021.
    Best Solution paper, runner up.
    [ Arxiv ]    [ Bibtex ]

  125. "Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition"
    by Z. Chao, L. Huang, D. Needell.
    Proc. Robust Subspace Learning and Applications in Computer Vision, 2021.
    [ Arxiv ]    [ Bibtex ]

  126. "QuantileRK: Solving Large-Scale Linear Systems with Corrupted, Noisy Data"
    by B. Jarman, D. Needell.
    Proc. 53rd Asilomar Conf. on Signals, Systems and Computers, Pacific Grove, CA, Nov. 2021.
    [ Arxiv ]    [ Bibtex ]

  127. "Distributed randomized Kaczmarz for adversarial workers"
    by X. Li, L. Huang, D. Needell.
    Proc. 53rd Asilomar Conf. on Signals, Systems and Computers, Pacific Grove, CA, Nov. 2021.
    [ Arxiv ]    [ Bibtex ]

  128. "An Untrained One-layer Convolutional Network-based Method for Line Spectral Estimation"
    by S. Li, D. Needell, W. Swartworth.
    Proc. 53rd Asilomar Conf. on Signals, Systems and Computers, Pacific Grove, CA, Nov. 2021.
    [ Arxiv ]    [ Bibtex ]

  129. "Semi-supervised Nonnegative Matrix Factorization for Document Classification"
    by J. Haddock, L. Kassab, S. Li, A. Kryshchenko, R. Grotheer, E. Sizikova, C. Wang, T. Merkh, R. W. M. A. Madushani, M. Ahn, D. Needell, K. Leonard.
    Proc. 53rd Asilomar Conf. on Signals, Systems and Computers, Pacific Grove, CA, Nov. 2021.
    [ Arxiv ]    [ Bibtex ]

  130. "Neural Nonnegative CP Decomposition for Hierarchical Tensor Analysis"
    by J. Vendrow, J. Haddock. D. Needell.
    Proc. 53rd Asilomar Conf. on Signals, Systems and Computers, Pacific Grove, CA, Nov. 2021.
    [ Arxiv ]    [ Bibtex ]

  131. "A Simple Recovery Framework for Signals with Time-Varying Sparse Support"
    by N. Durgin, R. Grotheer, C. Huang, S. Li, A. Ma, D. Needell, J. Qin.
    Proc. WiSDM, 2021.
    [ Arxiv ]    [ Bibtex ]

  132. "On A Guided Nonnegative Matrix Factorization"
    by J. Vendrow, J. Haddock, E. Rebrova, D. Needell.
    IEEE International Conf. on Acoustics, Speech, and Signal Proc. (ICASSP), 2021.
    [ Arxiv ]    [ Conference ]    [ Bibtex ]    [ Code ]

  133. "Online tensor factorization and CP-dictionary learning for Markovian data"
    by C. Strohmeier, H. Lyu, D. Needell.
    NeurIPS Opt+ML Workshop, 2020.
    [ Arxiv ]    [ Bibtex ]

  134. "COVID-19 Literature Topic-Based Search via Hierarchical NMF"
    by R. Grotheer, Y. Huang, P. Li, E. Rebrova, D. Needell, L. Huang, A. Kryshchenko, X. Li, K. Ha, O. Kryshchenko.
    Proc. Empirical Methods in Natural Language Processing, 2020.
    [ Arxiv ]    [ Bibtex ]

  135. "On Large-Scale Dynamic Topic Modeling with Nonnegative CP Tensor Decomposition"
    by M. Ahn, N. Eikmeier, J. Haddock, L. Kassab, A. Kryshchenko, K. Leonard, D. Needell, R. W. M. A. Madushani, E. Sizikova, and C. Wang.
    Proc. WiSDM, 2020.
    [ Arxiv ]    [ Bibtex ]

  136. "An Adaptation for Iterative Structured Matrix Completion"
    by H. Adams, L. Kassab, D. Needell.
    Proc. 51st Asilomar Conf. on Signals, Systems and Computers, Pacific Grove, CA, Nov. 2019.
    [ Arxiv ]    [ Bibtex ]

  137. "Stochastic Gradient Descent Methods for Corrupted Systems of Linear Equations"
    by J. Haddock, D. Needell, E. Rebrova, W. Swartworth.
    Proc. 54th Annual Conference on Information Sciences and Systems, 2020.
    [ Conference ]    [ Bibtex ]

  138. "Applications of Online Nonnegative Matrix Factorization to Image and Time-Series Data"
    by H. Lyu, G. Menz, D. Needell, C. Strohmeier.
    Proc. Information Theory and Applications, La Jolla CA, Feb. 2020.
    [ Arxiv ]    [ Proceedings ]   [ Bibtex ]

  139. "On Nonnegative CP Tensor Decomposition Robustness to Noise"
    by J. Haddock, L. Kassab, A. Kryshchenko, D. Needell.
    Proc. Information Theory and Applications, La Jolla CA, Feb. 2020.
    [ Arxiv ]    [ Proceedings ]   [ Bibtex ]

  140. "Tensor Completion through Total Variation with Initialization from Weighted HOSVD"
    by Z. Chao, L. Huang, D. Needell.
    Proc. Information Theory and Applications, La Jolla CA, Feb. 2020.
    [ Arxiv ]    [ Proceedings ]    [ Bibtex ]

  141. "Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery"
    by R. Grotheer, A. Ma, D. Needell, S. Li, J. Qin.
    Proc. Information Theory and Applications, La Jolla CA, Feb. 2020.
    [ Arxiv ]    [ Proceedings ]   [ Bibtex ]    [ Code ]

  142. "Clustering of Nonnegative Data and an Application to Matrix Completion"
    by C. Strohmeier, D. Needell.
    Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2020.
    [ Arxiv ]    [ Proceedings ]    [ Bibtex ]

  143. "Learning to Predict Human Stress Level with Incomplete Sensor Data from Wearable Devices"
    by J.-Y. Jiang, Z. Chao, A. L. Bertozzi, W. Wang, S. Young and D. Needell.
    Proc. 28th ACM International Conference on Information and Knowledge Management(CIKM), 2019.
    [ Journal ]    [ Bibtex ]

  144. "Data-driven Algorithm Selection and Parameter Tuning: Two Case studies in Optimization and Signal Processing"
    by J. De Loera, J. Haddock, A. Ma and D. Needell.
    Proc. International Joint Conferences on Artificial Intelligence Organization, to appear, 2019.
    [ Arxiv ]    [ Bibtex ]

  145. "Sketching for Motzkin's iterative method for linear systems"
    by E. Rebrova, D. Needell.
    Proc. 50th Asilomar Conf. on Signals, Systems and Computers, Pacific Grove, CA, Nov. 2019.
    [ Arxiv ]    [ Bibtex ]

  146. "Convergence of Iterative Hard Thresholding Variants with Application to Asynchronous Parallel Methods for Sparse Recovery"
    by J. Haddock, D. Needell, A. Zaeemzadeh, N. Rahnavard.
    Proc. 50th Asilomar Conf. on Signals, Systems and Computers, Pacific Grove, CA, Nov. 2019.
    [ Bibtex ]

  147. "Jointly Sparse Signal Recovery with Prior Info"
    by N. Durgin, R. Grotheer, C. Huang, S. Li, A. Ma, D. Needell, J. Qin.
    Proc. 50th Asilomar Conf. on Signals, Systems and Computers, Pacific Grove, CA, Nov. 2019.
    [ Bibtex ]

  148. "Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling"
    by M. Gao, J. Haddock, D. Molitor, D. Needell, E. Sadovnik, T. Will, R. Zhang.
    Proc. IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2019.
    [ Bibtex ]

  149. "On inferences from Completed Data"
    by J. Haddock, D. Molitor, D. Needell, S. Sambandam, J. Song, and S. Sun.
    Proc. Sampling Theory and Applications (SAMPTA), Bordeaux, France, July 2019.
    [ Arxiv ]    [ Bibtex ]

  150. "Fast Hyperspectral Diffuse Optical Imaging Method with Joint Sparsity"
    by N. Durgin, R. Grotheer, C. Huang, S. Li, A. Ma, D. Needell, J. Qin
    Proc. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'19), to appear.
    [ Bibtex ]

  151. "Matrix Completion with Selected Sampling"
    by C. Parkinson, K. Huynh, D. Needell.
    Proc. 13th International Conf. on Sampling Theory and Applications (SAMPTA), Bordeaux, France, pp. 1-4, 2019.
    [ Arxiv ]    [ Bibtex ]

  152. "New bounds for the block Gaussian sketch and project method"
    by E. Rebrova, D. Needell.
    Proc. Information Theory and Applications, La Jolla CA, Feb. 2019.
    [ Preprint ]    [ Bibtex ]

  153. "On inferences from Completed Data"
    by J. Haddock, D. Molitor, D. Needell, S. Sambandam, J. Song, and S. Sun.
    Proc. Information Theory and Applications, La Jolla CA, Feb. 2019.
    [ Bibtex ]

  154. "Randomized Kaczmarz with Averaging"
    by J. Moorman, T. Tu, D. Molitor, D. Needell.
    Proc. Information Theory and Applications, La Jolla CA, Feb. 2019.
    [ Bibtex ]

  155. "Compressed Anomaly Detection with Multiple Mixed Observations"
    by N. Durgin, R. Grotheer, C. Huang, S. Li, A. Ma, D. Needell, J. Qin.
    Research in Data Science, pp. 211-237, 2019.
    [ Journal ]    [ Arxiv ]    [ Bibtex ]

  156. "Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement Vectors"
    by N. Durgin, R. Grotheer, C. Huang, S. Li, A. Ma, D. Needell, J. Qin.
    Research in Data Science, Proc. WiSDM (ICERM), 2018.
    [ Arxiv ]    [ Bibtex ]

  157. "A Bayesian Approach for Asynchronous Parallel Sparse Recovery"
    by A. Zaeemzadeh, J. Haddock, N. Rahnavard, D. Needell.
    Proc. 49th Asilomar Conf. on Signals, Systems and Computers, Pacific Grove, CA, Nov. 2018.
    [ Bibtex ]

  158. "A Gradient Descent Approach for Incomplete Linear Systems"
    by A. Ma and D. Needell.
    Proc. 49th Asilomar Conf. on Signals, Systems and Computers, Pacific Grove, CA, Nov. 2018.
    [ Bibtex ]

  159. "A simple approach to hierarchical classification"
    by D. Molitor and D. Needell.
    Proc. International Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques (iTwist), Nov. 2018.
    [ Proceedings ]    [ Bibtex ]

  160. "Analysis of Fast Alternating Minimization for Structured Dictionary Learning"
    by S. Ravishankar, A. Ma and D. Needell.
    Proc. Information Theory and Approximation, La Jolla CA, Feb. 2018.
    [ Arxiv ]    [ Bibtex ]

  161. "Matrix Completion for Structured Observations"
    by D. Molitor and D. Needell.
    Proc. Information Theory and Approximation, La Jolla CA, Feb. 2018.
    [ Arxiv ]    [ Proceedings ]    [ Bibtex ]

  162. "Randomized Projections for Corrupted Linear Systems"
    by J. Haddock and D. Needell.
    Proc. 15th Int. Conf. of Numerical Analysis and Applied Mathematics, Rhodes, Greece, Sept. 2017.
    [ Bibtex ]

  163. "Simple Object Classification using Binary Data"
    by D. Needell, R. Saab, T. Woolf.
    Proc. AAAI Fall Symposium, Arlington, VA, Nov. 2017.
    [ Proceedings ]    [ Bibtex ]

  164. "Conditional Approximate Message Passing with Side Information"
    by D. Baron, A. Ma, D. Needell, C. Rush, and T. Woolf.
    Proc. 49th Asilomar Conf. on Signals, Systems and Computers, pp. 430--434, Pacific Grove, CA, Nov. 2017.
    [ Bibtex ]

  165. "De-biasing low-rank projection for matrix completion"
    by S. Foucart, D. Needell, Y. Plan and M. Wootters.
    Proc. SPIE Optics and Photonics, San Diego, Aug. 2017.
    [ Bibtex ]

  166. "Tolerant Compressed Sensing With Partially Coherent Sensing Matrices"
    by T. Birnbaum, Y. Eldar and D. Needell.
    Proc. SPIE Optics and Photonics, San Diego, Aug. 2017.
    [ Arxiv ]    [ Bibtex ]

  167. "Batched Stochastic Gradient Descent with Weighted Sampling"
    by D. Needell and R. Ward.
    Chapter in Approximation Theory XV, Springer, 2017.
    [ Arxiv ]    [ Bibtex ]

  168. "An Asynchronous Parallel Approach to Sparse Recovery"
    by D. Needell and T. Woolf.
    Proc. Information Theory and Applications, San Diego, Feb. 2017.
    [ Arxiv ]    [ Bibtex ]     [ Code ]

  169. "A Sampling Kaczmarz-Motzkin Algorithm for Linear Feasibility"
    by J. A. De Loera, J. Haddock, D. Needell.
    Proc. Copper Mountain Conf. on Iterative Methods, Mar. 2016.
    [ Bibtex ]

  170. "Methods for Quantized Compressed Sensing"
    by H. M. Shi, M. Case, X. Gu, S. Tu, and D. Needell.
    Proc. Information Theory and Applications (ITA), La Jolla CA, Jan. 2016.
    [ Arxiv ]    [ Bibtex ]

  171. "One-Bit Compressive Sensing with Partial Support"
    by P. North and D. Needell.
    Proc. IEEE International Workshop on Computational Advances in Multi-sensor Adaptive Processing, 2015.
    [ Arxiv ]    [ Bibtex ]

  172. "Constrained Adaptive Sensing"
    by M. Davenport, A. Massimino, D. Needell and T. Woolf.
    Proc. Signal Processing with Adaptive Sparse Structured Representations (SPARS), Cambridge, UK, July 2015.
    [ Proceedings ]    [ Bibtex ]

  173. "Compressive Sensing with Redundant Dictionaries and Structured Measurements"
    by F. Krahmer, D. Needell and R. Ward.
    Proc. 12th International Conf. on Sampling Theory and Applications (SAMPTA), May 2015.
    [ Proceedings ]    [ Bibtex ]

  174. "Stochastic Greedy Methods with Sparse Constraints"
    by N. Nguyen, D. Needell, and T. Woolf.
    Proc. Information Theory and Applications, La Jolla CA, Jan. 2015.
    [ Arxiv ]    [ Bibtex ]

  175. "Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm (Conference)"
    by D. Needell, N. Srebro and R. Ward.
    Proc. Neural Information Processing Systems (NIPS), Dec. 2014.
    [ Arxiv ]    [ Bibtex ]

  176. "Practical approximate projection schemes in greedy signal space methods"
    by C. Garnatz, X. Gu, A. Kingman, J. LaManna, D. Needell, S. Tu
    Proc. 2014 Allerton Conference on Communication, Control, and Computing, Allerton IL, Oct. 2014.
    [ Arxiv ]    [ Bibtex ]

  177. "Improving Image Clustering using Sparse Text and the Wisdom of the Crowds"
    by A. Ma, A. Flenner, D. Needell, and A. Percus
    Proc. Asilomar Conference on Signals, Systems, and Computers, Pacific Grove CA, Nov. 2014.
    [ Arxiv ]    [ Bibtex ]

  178. "A Comparison of Clustering and Missing Data Methods for Health Sciences"
    by R. Zhao, D. Needell, C. Johansen, J. L. Grenard.
    Proc. Asilomar Conference on Signals, Systems, and Computers, Pacific Grove CA, Nov. 2014.
    [ Arxiv ]    [ Bibtex ]

  179. "Two-Part Reconstruction in Compressed Sensing"
    by Y. Ma, D. Baron and D. Needell
    Proc. IEEE Global Conf. Signal Inf. Process., Austin, TX, Dec. 2013.
    [ Arxiv ]    [ Bibtex ]

  180. "Kaczmarz Algorithm with Soft Constraints for User Interface Layout"
    by N. Jamil, D. Needell, J. Muller, C. Lutteroth, and G. Weber
    IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2013.
    [ Arxiv ]    [ Bibtex ]

  181. "Super-resolution via superset selection and pruning"
    by L. Demanet, D. Needell and N. Nguyen
    Proc. 10th International Conf. on Sampling Theory and Applications (SAMPTA) 2013.
    [ Arxiv ]    [ Bibtex ]

  182. "Using Correlated Subset Structure for Compressive Sensing Recovery"
    by A. Divekar and D. Needell
    Proc. 10th International Conf. on Sampling Theory and Applications (SAMPTA) 2013.
    [ Arxiv ]    [ Bibtex ]

  183. "Signal Space CoSaMP for Sparse Recovery with Redundant Dictionaries"
    by M. A. Davenport, D. Needell and M. B. Wakin
    Signal Processing with Adaptive Sparse Structured Representations (SPARS) 2013.
    [ PDF ]    [ Bibtex ]

  184. "CoSaMP with redundant dictionaries"
    by M.A. Davenport, D. Needell, and M.B. Wakin
    Proc. Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA Nov. 2012.
    [ PDF ]    [ Bibtex ]

  185. "Mixed operators in compressed sensing"
    by M. Herman and D. Needell
    CISS 2010 (44th Annual Conference on Information Sciences and Systems)
    [ Arxiv ]   [ Proceedings ]    [ Bibtex ]

  186. "Noisy signal recovery via iterative reweighted L1-minimization"
    by D. Needell
    Proc. Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA Nov. 2009.
    [ Arxiv ]   [ Proceedings ]    [ Bibtex ]

  187. "Signal Recovery from Inaccurate and Incomplete Measurements via ROMP"
    by D. Needell and R. Vershynin.
    8th international conference on Sampling Theory and Applications (SAMPTA), May 2009.
    [ PDF ]   [ Proceedings ]    [ Bibtex ]

  188. "Greedy Signal Recovery Review"
    by D. Needell, J. A. Tropp and R. Vershynin.
    Proc. Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA Oct. 2008.
    [ Arxiv ]   [ Proceedings ]    [ Bibtex ]

  189. "Greedy signal recovery and uncertainty principles"
    by D. Needell and R. Vershynin.
    Computational Imaging VI, IS&T/SPIE 19th Annual Symposium, 2008. Proc. SPIE Vol. 6814, 68140J.
    [ PDF ]   [ Proceedings ]    [ Bibtex ]

  190. "Software requirements specification for a university class scheduler"
    by D. Needell, J. Stuart, T. Thiel, M. Dascalu, F. Harris Jr..
    Proc. 2003 International Conference on SERP, June 2003, Monte Carlo Resort, Las Vegas, NV.
    [ PDF ]    [ Bibtex ]

    Reports and Articles

  191. "COVID-19 Time-series Prediction by Joint Dictionary Learning and Online NMF"
    by H. Lyu, C. Strohmeier, G. Menz and D. Needell.
    Preprint, 2020.
    [ Arxiv ]    [ Bibtex ]

  192. "Topic-aware chatbot using Recurrent Neural Networks and Nonnegative Matrix Factorization"
    by Y. Guo, N. Haonian, Z. Lin, N. Liskij, H. Lyu, D. Needell, J. Qu, H. Sojico, Y. Wang, Z. Xiong, Z. Zou.
    Preprint, 2019.
    [ Arxiv ]    [ Bibtex ]

  193. "Are computers artists?"
    by D. Needell
    Article in Girls' Angle Bulletin, Mar. 2020.
    [ Website ]    [ Bibtex ]

  194. "How smart are computers?"
    by D. Needell
    Article in Girls' Angle Bulletin, Dec. 2019.
    [ Website ]    [ Bibtex ]

  195. "Math is all fun and games"
    by D. Needell
    Article in Girls' Angle Bulletin, Aug. 2019.
    [ Website ]    [ Bibtex ]

  196. "Colors and Perfect Matches"
    by D. Needell
    Article in Girls' Angle Bulletin, June 2019.
    [ Website ]    [ Bibtex ]

  197. "George the traveler"
    by D. Needell
    Article in Girls' Angle Bulletin, Apr. 2019.
    [ Website ]    [ Bibtex ]

  198. "AMS Spring Southeastern Sectional Sampler"
    by D. Needell
    AMS Notices, Mar. 2019.
    [ Website ]   [ Bibtex ]

  199. "Hats and papers: Probability is probably surprising"
    by D. Needell
    Article in Girls' Angle Bulletin, Dec. 2018.
    [ Website ]    [ Bibtex ]

  200. "Classification scheme for binary data with extensions"
    by D. Molitor, D. Needell, A. Nelson, R. Saab, and P. Salanevich
    Chapter in Compressed Sensing and its Applications, to appear, 2018.
    [ Website ]    [ Bibtex ]

  201. "Why it's hot in high dimensions"
    by D. Needell
    Article in Girls' Angle Bulletin, Aug. 2018.
    [ Website ]    [ Bibtex ]

  202. "Who am I? : Machine Learning Classification"
    by D. Needell
    Article in Girls' Angle Bulletin, June 2018.
    [ Website ]    [ Bibtex ]

  203. "How to fill in the blanks"
    by D. Needell
    Article in Girls' Angle Bulletin, Apr. 2018.
    [ Website ]    [ Bibtex ]

  204. "Tackling Large-scale data analysis"
    by D. Needell
    Article in Girls' Angle Bulletin, Jan. 2018.
    [ Website ]    [ Bibtex ]

  205. "Impact of Compressed Sensing on Statistical Inferences Made from Image Time Series: Application to functional MRI"
    by S. Shoemaker, A. Asadoorian, C. Ayala, R. McCarthy, J. Nadalin, W. T. Kerr, D. Needell, A. Bertozzi, S. J. Osher, M. Cohen.
    Preprint, 2016.
    [ Bibtex ]

  206. "Compressed sensing and dictionary learning"
    by G. Chen and D. Needell
    Chapter in Finite Frame Theory, Proceedings of Symposia in Applied Mathematics, vol. 73, Amer. Math. Soc., Providence, RI, 2016, pp. 201-241.
    [ Preprint ]    [ Bibtex ]

  207. "Near-optimal compressed sensing guarantees for anisotropic and isotropic total variation minimization"
    by D. Needell and R. Ward
    CMC Faculty Publications and Research Technical Report, Paper 318, 2013.
    [ Report ]    [ Bibtex ]

  208. "Two-subspace Projection Method for Coherent Overdetermined Systems"
    by D. Needell and R. Ward
    CMC Faculty Publications and Research Technical Report, Paper 35. DOI: 10.5642/tspmcos.2012.01.
    [ Arxiv ]   [ Report ]    [ Bibtex ]

  209. "CoSaMP: Iterative signal recovery from incomplete and inaccurate samples"
    by D. Needell and J. A. Tropp
    Extended Abstract, Communications of the ACM, "Research Highlights" section, Dec. 2010.
    [ PDF ]   [ Communications ]   [ Bibtex ]

  210. "CoSaMP: Iterative signal recovery from incomplete and inaccurate samples"
    by D. Needell and J. A. Tropp.
    ACM Report 2008-01, Mar. 2008. Revised, July 2008.
    [ Report ]    [ Bibtex ]

  211. "Topics in Compressed Sensing"
    by D. Needell
    PhD Dissertation, Mathematics, Univ. of California, Davis, May 2009.
    [ Arxiv ]    [ Bibtex ]